Computer Scientist Salary in Cambridge, MA

Biologics - Upstream Cell Line Development Employee Responsibilities include, but are not limited to: Support the cell line development (CLD) team through participation in transfection, stable selection, cloning, expansion and characterization of mammalian cell lines for clinical and commercial production Perform laboratory experiments using a variety of CLD and cell culture technologies including single cell cloning/clone picking, cell imaging, liquid handling automation and Octet/ELISA-based recombinant protein quantification Support molecular characterization of the lead clonal cell lines for CLD programs including but not limited to mRNA analysis and gene copy number determination Works with departmental and/or cross functional peers to execute on assignments, under limited supervision. Prepares experimental protocols. Contributes significantly to project work which may include multiple projects within functional area. Interprets data independently, and contributes to technical reports Identifies technical issues, and implements solutions under supervision Contributes to the design of new applications/experiments/unit operations in consultation with supervisor. Coordinates within department as well as cross functionally with peers on projects. The Ideal Candidate would possess: Experience in CLD technologies including culture of mammalian cells, single-cell cloning (sorting/clone picking), clonality assessment, and clone screening highly desirable Experience in molecular biology methods including subcloning, northern blot, RT-qPCR/ddPCR and Octet/ELISA-based recombinant protein quantification is desirable Ability to troubleshoot and resolve critical and routine issues using appropriate information Ability to work within department groups/team Ability to manage work load efficiently and in timely manner especially when projects are at a critical stage Proficiency in use of applicable lab equipment and operations; experience in maintaining written records of work in the form of laboratory notebooks (paper or electronic) Ability to report data, present findings to management Minimum Qualifications: Bachelor's degree in biochemistry, biology, biotechnology, or related pharmaceutical science; 4+ years of biotechnology/biopharmaceutical industry experience in cell line development OR Master's degree in biochemistry, biology, biotechnology, or related pharmaceutical science; 1+ year of biotechnology/biopharmaceutical industry experience in cell line development Sound knowledge of cell culture principles, experience in aseptic techniques required Computer experience in common Microsoft applications (Word, Excel, PowerPoint) is required What we offer: Excellent full time benefits including comprehensive medical coverage, dental, and vision options Life and disability insurance 401(k) with company match Paid vacation and holidays Position is full-time, Monday-Friday, 8 a.m.-5 p.m., with overtime as needed. Candidates currently living within a commutable distance of Cambridge, Massachusetts are encouraged to apply. Eurofins Lancaster Laboratories Professional Scientific Services ® (PSS) is a global, award-winning insourcing solution that places our people at our clients' site dedicated to running and managing laboratory services while eliminating headcount, co-employment and project-management worries. We infuse our 55-year track record of scientific and laboratory operations expertise, as well as HR and great place to work best practices, to recruit, hire, train and manage highly qualified scientists to perform laboratory services using our client's quality systems and equipment. Eurofins is a M/F, Disabled, and Veteran Equal Employment Opportunity and Affirmative Action employer.

About Us: As a not-for-profit organization, Mass General Brigham is committed to supporting patient care, research, teaching, and service to the community by leading innovation across our system. Founded by Brigham and Women's Hospital and Massachusetts General Hospital, Mass General Brigham supports a complete continuum of care including community and specialty hospitals, a managed care organization, a physician network, community health centers, home care and other health-related entities. Several of our hospitals are teaching affiliates of Harvard Medical School, and our system is a national leader in biomedical research.We're focused on a people-first culture for our system's patients and our professional family. That's why we provide our employees with more ways to achieve their potential. Mass General Brigham is committed to aligning our employees' personal aspirations with projects that match their capabilities and creating a culture that empowers our managers to become trusted mentors. We support each member of our team to own their personal development-and we recognize success at every step.Our employees use the Mass General Brigham values to govern decisions, actions and behaviors. These values guide how we get our work done: Patients, Affordability, Accountability & Service Commitment, Decisiveness, Innovation & Thoughtful Risk; and how we treat each other: Diversity & Inclusion, Integrity & Respect, Learning, Continuous Improvement & Personal Growth, Teamwork & Collaboration.GENERAL SUMMARY / OVERVIEW: The Gene and Cell Therapy Institute (GCTI) is a newly created system-wide Institute under Mass General Brigham. The Institute will foster a world-class gene and cell therapy program that will leverage ongoing, groundbreaking scientific research efforts across the MGB system. The mission of GCTI is to bring together the community of MGB investigators which can utilize gene and cell therapy platforms to achieve their scientific and clinical goals and improve the health of patients. The Institute will differentiate itself by harnessing the exceptional strengths of clinician scientists, the large and unique patient population, and major discoveries throughout the hospital system to propel MGB as the leader in Gene & Cell therapies. The Abudayyeh-Gootenberg Gene Editing lab at the Mass General Brigham Gene and Cell Therapy Institute is seeking a highly organized and dynamic individual to serve as a manager and principal scientist for a new Gene Editing and Perturbation (GEP) core housed at the GCTI. This unique role provides an opportunity to be a part of a team contributing to the forefront of technology development in gene therapy, cell therapy, and aging research and supporting the entire MGB ecosystem's research and development in the gene editing and genomic perturbation space.This position is designed for a motivated and skilled individual who will be instrumental in managing the GEP's operations. The GEP is a new model, established by the GCTI, to assist researchers both across MGB and external groups with performing gene editing experiments and pooled genetic screens. Successful candidates will play a pivotal role in establishing the core, hiring additional members to assist with core activities, setting up initial services, and working with potential investigators in the MGB ecosystem. Additionally, there is the opportunity to engage in cutting-edge research and collaborations, including but not limited to publishing results, assisting with pre-clinical asset development, and eventually in scale up of reagents for clinical trials. We are looking for someone who thrives in a fast-paced, innovative environment and is passionate about supporting science that makes a difference. The ideal candidate will be highly organized, possess exceptional planning skills, and demonstrate a strong curiosity about the work. Furthermore, existing experience with genome editing, CRISPR, lentiviral preparation, and pooled screening is strongly preferred.PRINCIPAL DUTIES AND RESPONSIBILITIES:Core Management • Oversee daily operations of the GEP core, ensuring efficient workflow and compliance with safety regulations.• Establish systems and infrastructure for accepting orders and billing customers.• Ensure proper and timely production of requested samples.• Setting up initial lab services and activities.• Assist clients with critical know-how for designing and debugging experiments.• Recruiting additional core staff as needed.Scientific Support• Purify lentiviral libraries for pooled genetic screening.• Transduce cell lines with libraries.• Harvest DNA and analyze NGS results of pooled screens.• Perform cell sorting as needed to read out screens.• Handle primary cell lines for genome editing experiments.• Design and test guide RNAs for CRISPR technologies, including nucleases, CRISPRi, base editing, and prime editing.• Delivery genome editing reagents to cell lines and primary cells using diverse delivery technologies, including DNA lipofection, mRNA delivery, viral transduction, and electroporation.Qualifications • PhD in n a relevant scientific discipline.• Experience with genome editing and CRISPR technologies.• Experience with genome-wide screening.• Prior experience in lab management and leadership is helpful.• Strong organizational skills and the ability to multitask effectively.• Excellent communication skills, both written and verbal.• Proficiency in office and lab software, including Microsoft Office Suite and laboratory information management systems (LIMS).• Knowledge of laboratory safety and compliance regulations.• Demonstrated ability to work independently as well as part of a team.SKILLS/ ABILITIES/ COMPETENCIES:• High degree of computer literacy• Sound analytical and organizational skills.• Requires good oral and written communication skills.• Must be able to logically and effectively structure tasks and set priorities.• Ability to identify problems in the lab and trouble-shoot solutions.• Independent drive and motivationEEO Statement Mass General Brigham is an Equal Opportunity Employer. By embracing diverse skills, perspectives and ideas, we choose to lead. All qualified applicants will receive consideration for employment without regard to race, color, religious creed, national origin, sex, age, gender identity, disability, sexual orientation, military service, genetic information, and/or other status protected under law. We will ensure that all individuals with a disability are provided a reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment.

Harvard UniversityDescription: 10-Apr-2024Front End DeveloperFaculty of Arts and Sciences 65558BRPosition DescriptionAs a member of the development team of the open-source Dataverse Project, the Front End Developer will be actively involved in the technical design and implementation of various components of the front end of the Single Page Application Dataverse. Although this developer should be able to work on all aspects of the Dataverse code, the main focus will be on the development and enhancement of the Dataverse frontend using the technologies in use, such as React, Java Server Faces, etc., and work on the migration from the old to the new Dataverse frontend. The Front End Developer will also assist with testing scripts and software deployment issues reviewing pull request code from the community. The Front End Developer may be asked to work on other related software products and single page applications. Throughout the process, the Front End Developer will be expected to perform unit tests and make bug fixes where necessary, revise code submissions (pull requests) from the open source community, merging new code with the existing code base. The Front End Developer will also contribute to the creation of the documentation supporting the application. The Front End Developer will work closely with the rest of the Dataverse Core Team and at times with the Dataverse Community.This position reports to the IQSS Director of Data Science and Product Research.Basic Qualifications Minimum of five years’ post-secondary education or relevant work experienceAdditional Qualifications and Skills Bachelor’s degree in computer science or similar field preferred. Excellent programming skills. Experience in writing code in Java. Experience with React, Javascript, web and Single Page Application development a plus. Experience with Cypress testing automation or similar frameworks. Experience in Software Development Life Cycle (SDLC) and iterative methodologies. Familiarity with source code control systems like SVN / CVS / Git. Ability to learn new languages, protocols, and frameworks quickly. Ability to meet aggressive deadlines.Additional InformationThis is an 18-month term position from the start date, with the possibility of renewal based on funding and performance.We are unable to provide visa sponsorship for this position.All formal offers will be made by FAS HR.The Institute for Quantitative Social Science (IQSS) is a university-wide institute whose mission is to solve society’s greatest challenges through the creation, preservation, and dissemination of social science knowledge. We build infrastructure and community so social scientists can work at unprecedented speed, scale, and levels of collaboration. The IQSS approach includes: providing an environment (physical space, events, services) that encourages scholars to convene and collaborate; developing powerful (and broadly useful) statistical, computational, and analytical infrastructure and tools; building bridges between the many different scientific communities concerned with real world problems; removing impediments to discovery by providing exceptional administrative services; and supporting and showcasing innovative ideas through the creation and incubation of scientific programs.The Dataverse Project is an open-source software project that represents the state of the art in open and generalist data repository. It has about 100 installations around the world including the most prominent and well known Harvard Dataverse Repository and an extensive community of users and code contributors. Harvard Dataverse Repository is a free data repository open to all researchers from any discipline, both inside and outside of the Harvard community, where you can share, archive, cite, access, and explore research data. Since 2012, the Institute for Quantitative Social Science has collaborated with Harvard Library and Harvard University Information Technology (HUIT) to make the Harvard Dataverse Repository openly available to researchers and data collectors worldwide from all disciplines to deposit data. In this collaboration IQSS leads the development of the Dataverse Project.IQSS sits in the Division of Social Science, which is strongly committed to creating and supporting a diverse workforce. Respect and fairness, kindness and collegiality, and trust and transparency are among the values we espouse and promote in our workplace culture. We work hard to ensure a healthy, inclusive and positive environment where everyone does their best work in support of Harvard’s mission.Work Format DetailsThis is a hybrid position that is based in Massachusetts. Additional details will be discussed during the interview process. All remote work must be performed within one of the Harvard Registered Payroll States, which currently includes Massachusetts, Connecticut, Maine, New Hampshire, Rhode Island, Vermont, Georgia, Illinois, Maryland, New Jersey, New York, Virginia, Washington, and California (CA for exempt positions only). Certain visa types and funding sources may limit work location. Individuals must meet work location sponsorship requirements prior to employment.BenefitsWe invite you to visit Harvard's Total Rewards website (https://hr.harvard.edu/totalrewards) to learn more about our outstanding benefits package, which may include: Paid Time Off: 3-4 weeks of accrued vacation time per year (3 weeks for support staff and 4 weeks for administrative/professional staff), 12 accrued sick days per year, 12.5 holidays plus a Winter Recess in December/January, 3 personal days per year (prorated based on date of hire), and up to 12 weeks of paid leave for new parents who are primary care givers. Health and Welfare: Comprehensive medical, dental, and vision benefits, disability and life insurance programs, along with voluntary benefits. Most coverage begins as of your start date. Work/Life and Wellness: Child and elder/adult care resources including on campus childcare centers, Employee Assistance Program, and wellness programs related to stress management, nutrition, meditation, and more. Retirement: University-funded retirement plan with contributions from 5% to 15% of eligible compensation, based on age and earnings with full vesting after 3 years of service. Tuition Assistance Program: Competitive program including $40 per class at the Harvard Extension School and reduced tuition through other participating Harvard graduate schools.Tuition Reimbursement: Program that provides 75% to 90% reimbursement up to $5,250 per calendar year for eligible courses taken at other accredited institutions. Professional Development: Programs and classes at little or no cost, including through the Harvard Center for Workplace Development and LinkedIn Learning.Commuting and Transportation: Various commuter options handled through the Parking Office, including discounted parking, half-priced public transportation passes and pre-tax transit passes, biking benefits, and more. Harvard Facilities Access, Discounts and Perks: Access to Harvard athletic and fitness facilities, libraries, campus events, credit union, and more, as well as discounts to various types of services (legal, financial, etc.) and cultural and leisure activities throughout metro-Boston.Job FunctionInformation Technology Department Office LocationUSA - MA - Cambridge Job CodeI1257P IT RC Software/Data Prof III Work FormatHybrid (partially on-site, partially remote) Sub-UnitSocial Sciences Salary Grade057DepartmentInstitute for Quantitative Social Science (IQSS)Union00 - Non Union, Exempt or Temporary Time StatusFull-time Pre-Employment ScreeningIdentity Commitment to Equity, Diversity, Inclusion, and BelongingHarvard University views equity, diversity, inclusion, and belonging as the pathway to achieving inclusive excellence and fostering a campus culture where everyone can thrive. We strive to create a community that draws upon the widest possible pool of talent to unify excellence and diversity while fully embracing individuals from varied backgrounds, cultures, races, identities, life experiences, perspectives, beliefs, and values.EEO StatementWe are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, gender identity, sexual orientation, pregnancy and pregnancy-related conditions, or any other characteristic protected by law.LinkedIn Recruiter Tag (for internal use only)#LI-JB1 PI239435707

The Role:Moderna is seeking a highly motivated computational scientist to join our collaborative, multi-disciplinary, and fast-paced team dedicated to the development of cancer immunotherapies. The primary focus of this role is to help develop leading-edge computational methods that translates complex immunology into cancer therapy. The ideal candidate will have solid training in machine learning, bioinformatics and basic understanding of immunology, with a proven track record of learning advanced algorithms rapidly. You will be at the forefront of immune-oncology, working alongside a team of computational biologists, immunologists, and translational biologists to drive the next generation of cancer treatments.Here's What You Will Do:Participate in implementation and evaluation of leading-edge machine learning methods related to cancer immunotherapy.Explore large-scale immunological datasets, including genomic, transcriptomic, mass spectrometry, and structural data, to derive and integrate orthogonal contributors of effective immunotherapy design.Stay abreast of scientific findings and technological developments and continuously improve computational methodology.Maintain detailed documentation of data analysis methods and results.Present findings and participate in cross-function team meetings.Here's What You'll Bring to the Table:MS degree in Computational Biology, Bioinformatics, Computer Science, or a related fieldStrong track record in machine learning algorithm development, preferably with applications in immunology, genomics, or personalized medicineProficiency in handling and interpreting large-scale biological datasets, including genomic and proteomic data.Strong programming skills in Python/R and with ML frameworks (e.g. PyTorch).Experience with high performance cloud computing such as the AWS cloud computing platform.Innovative thinker with excellent analytical, problem-solving, and communication skillsAbility to work independently as well as part of a collaborative research teamStrong organizational skills with the ability to manage multiple tasks and meet deadlinesModerna is pleased to provide you and your family with a comprehensive and innovative suite of benefits, including:Highly competitive and inclusive medical, dental and vision coverage optionsFlexible Spending Accounts for medical expenses and dependent care expensesLifestyle Spending Account funds to help you engage in personal enrichment and self-care activitiesFamily care benefits, including subsidized back-up care options and on-demand tutoringFree premium access to fitness, nutrition, and mindfulness classes Exclusive preferred pricing on Peloton fitness equipmentAdoption and family-planning benefitsDedicated care coordination support for our LGBTQ+ communityGenerous paid time off, including:• Vacation, sick time and holidays• Volunteer time to participate within your community• Discretionary year-end shutdown• Paid sabbatical after 5 years; every 3 years thereafterGenerous Paid Leave offerings, including 18 weeks of 100% paid parental leave for all new parents 401k match and Financial Planning toolsModerna-paid Life, LTD and STD insurance coverages, as well as voluntary benefit optionsComplimentary concierge service including home services research, travel booking, and entertainment requestsFree parking or subsidized commuter passesLocation-specific perks and extras! About ModernaSince our founding in 2010, we have aspired to build the leading mRNA technology platform, the infrastructure to reimagine how medicines are created and delivered, and a world-class team. We believe in giving our people a platform to change medicine and an opportunity to change the world. By living our mission, values, and mindsets every day, our people are the driving force behind our scientific progress and our culture. Together, we are creating a culture of belonging and building an organization that cares deeply for our patients, our employees, the environment, and our communities.We are proud to have been recognized as a Science Magazine Top Biopharma Employer, a Fast Company Best Workplace for Innovators, and a Great Place to Work in the U.S.As we build our company, we have always believed an in-person culture is critical to our success. Moderna champions the significant benefits of in-office collaboration by embracing a 70/30 work model. This 70% in-office structure helps to foster a culture rich in innovation, teamwork, and direct mentorship. Join us in shaping a world where every interaction is an opportunity to learn, contribute and make a meaningful impact.If you want to make a difference and join a team that is changing the future of medicine, we invite you to visit modernatx.com/careers to learn more about our current opportunities.Moderna is a smoke-free, alcohol-free and drug-free work environment.Moderna is a place where everyone can grow. If you meet the Basic Qualifications for the role and you would be excited to contribute to our mission every day, please apply!Moderna is proud to be an equal opportunity workplace and is an affirmative action employer.Moderna is committed to equal employment opportunity and non-discrimination for all employees and qualified applicants without regard to a person's race, color, sex, gender identity or expression, age, religion, national origin, ancestry or citizenship, ethnicity, disability, military or protected veteran status, genetic information, sexual orientation, marital or familial status, or any other personal characteristic protected under applicable law. Moderna is an E-Verify Employer in the United States. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.Belonging, Inclusion, and Diversity are critical to the success of our company and our impact on society. We're focused on attracting, retaining, developing, and advancing our employees and believe that by cultivating diverse experiences, backgrounds, and ideas, we can provide an environment where every employee is able to contribute their best.Moderna is committed to offering reasonable accommodations to qualified job applicants with disabilities. Any applicant requiring an accommodation in connection with the hiring process and/or to perform the essential functions of the position for which the applicant has applied should contact the Accommodations team at [email protected]. (EEO/AAP Employer) #LI-KF1-

The Role:Moderna is seeking a highly motivated and experienced computational scientist with immunoinformatics background to join our collaborative, multi-disciplinary, and fast-paced team dedicated to the development of cancer immunotherapies. The primary focus of this role is to develop leading-edge computational methods that translates complex immunology into cancer therapy. The ideal candidate will have a strong background in machine learning, bioinformatics and solid understanding of immunology, with a proven track record of developing advanced algorithms that can transform complex biological data into actionable insights. You will be at the forefront of immune-oncology, working alongside a team of computational biologists, immunologists, and translational biologists to drive the next generation of cancer treatments.Here's What You Will Do:Design, implement and evaluate leading-edge machine learning methods related to cancer immunotherapy.Explore large-scale immunological datasets, including genomic, transcriptomic, mass spectrometry, and structural data, to derive and integrate orthogonal contributors of effective immunotherapy design.Stay abreast of scientific findings and technological developments and continuously improve computational methodology.Maintain detailed documentation of data analysis methods and results.Present findings and participate in cross-function team meetings.Here's What You'll Bring to the Table:PhD degree in Computational Biology, Bioinformatics, Computer Science, or a related field + 2 years of relevant experience, or MS degree + 5 years of relevant experienceStrong track record in machine learning algorithm development, preferably with applications in immunology, genomics, or personalized medicineProficiency in handling and interpreting large-scale biological datasets, including genomic and proteomic data.Strong programming skills in Python/R and with ML frameworks (e.g. PyTorch).Experience with high performance cloud computing such as the AWS cloud computing platform.Innovative thinker with excellent analytical, problem-solving, and communication skillsAbility to work independently as well as part of a collaborative research teamStrong organizational skills with the ability to manage multiple tasks and meet deadlinesModerna is pleased to provide you and your family with a comprehensive and innovative suite of benefits, including:Highly competitive and inclusive medical, dental and vision coverage optionsFlexible Spending Accounts for medical expenses and dependent care expensesLifestyle Spending Account funds to help you engage in personal enrichment and self-care activitiesFamily care benefits, including subsidized back-up care options and on-demand tutoringFree premium access to fitness, nutrition, and mindfulness classes Exclusive preferred pricing on Peloton fitness equipmentAdoption and family-planning benefitsDedicated care coordination support for our LGBTQ+ communityGenerous paid time off, including:• Vacation, sick time and holidays• Volunteer time to participate within your community• Discretionary year-end shutdown• Paid sabbatical after 5 years; every 3 years thereafterGenerous Paid Leave offerings, including 18 weeks of 100% paid parental leave for all new parents 401k match and Financial Planning toolsModerna-paid Life, LTD and STD insurance coverages, as well as voluntary benefit optionsComplimentary concierge service including home services research, travel booking, and entertainment requestsFree parking or subsidized commuter passesLocation-specific perks and extras! About ModernaSince our founding in 2010, we have aspired to build the leading mRNA technology platform, the infrastructure to reimagine how medicines are created and delivered, and a world-class team. We believe in giving our people a platform to change medicine and an opportunity to change the world. By living our mission, values, and mindsets every day, our people are the driving force behind our scientific progress and our culture. Together, we are creating a culture of belonging and building an organization that cares deeply for our patients, our employees, the environment, and our communities.We are proud to have been recognized as a Science Magazine Top Biopharma Employer, a Fast Company Best Workplace for Innovators, and a Great Place to Work in the U.S.As we build our company, we have always believed an in-person culture is critical to our success. Moderna champions the significant benefits of in-office collaboration by embracing a 70/30 work model. This 70% in-office structure helps to foster a culture rich in innovation, teamwork, and direct mentorship. Join us in shaping a world where every interaction is an opportunity to learn, contribute and make a meaningful impact.If you want to make a difference and join a team that is changing the future of medicine, we invite you to visit modernatx.com/careers to learn more about our current opportunities.Moderna is a smoke-free, alcohol-free and drug-free work environment.Moderna is a place where everyone can grow. If you meet the Basic Qualifications for the role and you would be excited to contribute to our mission every day, please apply!Moderna is proud to be an equal opportunity workplace and is an affirmative action employer.Moderna is committed to equal employment opportunity and non-discrimination for all employees and qualified applicants without regard to a person's race, color, sex, gender identity or expression, age, religion, national origin, ancestry or citizenship, ethnicity, disability, military or protected veteran status, genetic information, sexual orientation, marital or familial status, or any other personal characteristic protected under applicable law. Moderna is an E-Verify Employer in the United States. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.Belonging, Inclusion, and Diversity are critical to the success of our company and our impact on society. We're focused on attracting, retaining, developing, and advancing our employees and believe that by cultivating diverse experiences, backgrounds, and ideas, we can provide an environment where every employee is able to contribute their best.Moderna is committed to offering reasonable accommodations to qualified job applicants with disabilities. Any applicant requiring an accommodation in connection with the hiring process and/or to perform the essential functions of the position for which the applicant has applied should contact the Accommodations team at [email protected]. (EEO/AAP Employer) #LI-KF1-

The Role:Moderna is seeking a highly motivated bioinformatician with solid training in cancer genomics data analysis to work as part of a highly collaborative, multi-disciplinary, and fast-paced team. The primary focus for this position is to curate and evaluate cancer specific genomic aberrations and immune evasion mechanisms, translate public and proprietary information into useful training data to help develop bioinformatics algorithms to incorporate this information in individualized neoantigen therapy (INT) programs. The successful candidate will work closely with computational biologists, immunologists, and translational scientists in Oncology Research to support PCV discovery research and clinical development.Here's What You'll DoLeading scientific evaluations of different genomics data processing pipelines, especially on somatic variant calling methods.Evaluating different NGS technology and workflows.Explore, evaluate, and prioritize external and internal biological assay data to improve INT bioinformatics algorithm.Collaborating with discovery and translational biologists to support INT research and clinical development.Building an innovative team that is specialized in cancer genomics data analysis and pipelining.Here's What You'll Need (Minimum Qualifications)Ph.D. in a computational discipline, such Bioinformatics, Computational Biology, Physics, Computer Science, or StatisticsDemonstrated scientific research experience with high throughput genomics dataExtensive experience with Python and R, high-performance computing, and AWSOutstanding communication skills (verbal and written)Here's What You'll Bring to the Table (Preferred Qualifications)Prior experience developing genomics data processing methods, ideally in the cancer spaceStrong problem-solving skills and a results-oriented mindsetDemonstrated cross-functional collaboration with multidisciplinary teams Curious about exploring a new pathway for drug discoveryBe bold in proposing and delivering on creative experimental designs and ideasPrior experience with staging and sequencing projects independently and presenting results to non-technical stakeholdersCollaborate effectively and manage multiple projects in a dynamic, cross-functional matrix environmentModerna is pleased to provide you and your family with a comprehensive and innovative suite of benefits, including:Highly competitive and inclusive medical, dental and vision coverage optionsFlexible Spending Accounts for medical expenses and dependent care expensesLifestyle Spending Account funds to help you engage in personal enrichment and self-care activitiesFamily care benefits, including subsidized back-up care options and on-demand tutoringFree premium access to fitness, nutrition, and mindfulness classes Exclusive preferred pricing on Peloton fitness equipmentAdoption and family-planning benefitsDedicated care coordination support for our LGBTQ+ communityGenerous paid time off, including:• Vacation, sick time and holidays• Volunteer time to participate within your community• Discretionary year-end shutdown• Paid sabbatical after 5 years; every 3 years thereafterGenerous Paid Leave offerings, including 18 weeks of 100% paid parental leave for all new parents 401k match and Financial Planning toolsModerna-paid Life, LTD and STD insurance coverages, as well as voluntary benefit optionsComplimentary concierge service including home services research, travel booking, and entertainment requestsFree parking or subsidized commuter passesLocation-specific perks and extras! About ModernaSince our founding in 2010, we have aspired to build the leading mRNA technology platform, the infrastructure to reimagine how medicines are created and delivered, and a world-class team. We believe in giving our people a platform to change medicine and an opportunity to change the world. By living our mission, values, and mindsets every day, our people are the driving force behind our scientific progress and our culture. Together, we are creating a culture of belonging and building an organization that cares deeply for our patients, our employees, the environment, and our communities.We are proud to have been recognized as a Science Magazine Top Biopharma Employer, a Fast Company Best Workplace for Innovators, and a Great Place to Work in the U.S.As we build our company, we have always believed an in-person culture is critical to our success. Moderna champions the significant benefits of in-office collaboration by embracing a 70/30 work model. This 70% in-office structure helps to foster a culture rich in innovation, teamwork, and direct mentorship. Join us in shaping a world where every interaction is an opportunity to learn, contribute and make a meaningful impact.If you want to make a difference and join a team that is changing the future of medicine, we invite you to visit modernatx.com/careers to learn more about our current opportunities.Moderna is a smoke-free, alcohol-free and drug-free work environment.Moderna is a place where everyone can grow. If you meet the Basic Qualifications for the role and you would be excited to contribute to our mission every day, please apply!Moderna is proud to be an equal opportunity workplace and is an affirmative action employer.Moderna is committed to equal employment opportunity and non-discrimination for all employees and qualified applicants without regard to a person's race, color, sex, gender identity or expression, age, religion, national origin, ancestry or citizenship, ethnicity, disability, military or protected veteran status, genetic information, sexual orientation, marital or familial status, or any other personal characteristic protected under applicable law. Moderna is an E-Verify Employer in the United States. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.Belonging, Inclusion, and Diversity are critical to the success of our company and our impact on society. We're focused on attracting, retaining, developing, and advancing our employees and believe that by cultivating diverse experiences, backgrounds, and ideas, we can provide an environment where every employee is able to contribute their best.Moderna is committed to offering reasonable accommodations to qualified job applicants with disabilities. Any applicant requiring an accommodation in connection with the hiring process and/or to perform the essential functions of the position for which the applicant has applied should contact the Accommodations team at [email protected]. (EEO/AAP Employer) #LI-KF1-

Harvard UniversityTitle: Postdoctoral Fellowship Position in Visual Computing at Harvard University School: Harvard John A. Paulson School of Engineering and Applied Sciences Department_Area: Computer Sciences Position Description: The Visual Computing Group ( VCG ) in the School of Engineering and Applied Sciences ( SEAS ) at Harvard University seeks postdoctoral fellows with a Ph.D. in computer science/ engineering or a related field to work on varied research projects in visual computing. Potential candidates should possess a strong background in one or more fields related to computer graphics, visualization, or computer vision.In addition to working closely with scientists, engineers, and graduate students on research projects, the candidate is expected to actively participate in writing grant proposals.Candidates should have a substantial publication history and good teamwork and communication skills. Strong software development experience is a plus. The position is available immediately, with funding for two years.For more information, please forward your CV and at least three references to Emma Duncan at [email protected]. Basic Qualifications: Ph.D in computer science. Contact Information: Emma Duncan Contact Email: [email protected] Equal Opportunity Employer: We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, gender identity, sexual orientation, pregnancy and pregnancy-related conditions or any other characteristic protected by law. Minimum Number of References Required: 3 Maximum Number of References Allowed: 3 Supplemental Questions: Required fields are indicated with an asterisk (*).PI239889716

The AI Internship provides an opportunity to learn about Flagship's company creation process while leveraging your computational biology expertise. The role will focus on supporting the ecosystem through the development of ML models and AI-enabled tools. Through these activities, you will have multiple opportunities to engage with leaders and scientists within both Flagship and portfolio companies through one-on-one mentorship, presentations, and participation in ecosystem-wide events. The position is ideal for someone interested in developing a deeper understanding of the biotech industry while contributing as a thought leader and developer to a range of projects.Key Responsibilities:Learn Flagship Pioneering's system of generating and refining actionable pioneering hypothesesContribute to the development of ML models and AI tools that accelerate scientific research and the origination of new companiesBuild LLM-enabled agents for biological data access, management, transformation, and analysisIterate with internal end users to deliver an effective user experienceWork directly with highly experienced Flagship Pioneering team members-a group of innovative and experienced scientists, entrepreneurs, and executivesExplore full-time opportunities at Flagship Pioneering and our AI/ML-focused companiesQualifications:Currently enrolled in a PhD program in Biology, Computer Science, Machine Learning, Applied Mathematics, or a related field. Deep research experience in at least one of the following fields: machine learning, modeling and simulation, computational biologyRecord of scientific and academic excellence and creativity in the ability to solve complex scientific problemsA passion for innovation and a willingness to explore uncharted territories.At Flagship, we recognize there is no perfect candidate. If you have some of the experience listed above but not all, please apply anyway. Experience comes in many forms, skills are transferable, and passion goes a long way. We are dedicated to building diverse and inclusive teams and look forward to learning more about your unique background.

What if... you could join an organization that creates, resources, and builds life sciences companies that invent breakthrough technologies in order to transform health care and sustainability?FL94 Inc., is a privately held, early-stage biotechnology company pioneering Protein Editing. At FL94 we create small molecules that edit protein structure and function to unlock presently undruggable targets and a broad array of novel chemistry modalities. Our platform integrates novel small molecule chemistry and chemoproteomic discovery technologies with machine learning to enable generative design of protein editing chemistries. FL94 is backed by Flagship Pioneering, bringing the courage, vision, and resources to guide FL94 from platform validation to patient impact. We are seeking collaborative, relentless problem solvers that share our passion for impact to join us!Position Summary:FL94 is seeking a hands-on,n experienced, creative, and visionary Machine Learning Lead. You will be responsible for setting the strategy for, building, and leading a team of data infrastructure and machine learning scientists. The objective of this team is to develop and apply cutting-edge machine learning (ML) paradigms across FL94's proprietary chemoproteomics and small molecule chemistry data sets to narrow the search space and increase the probability of discovering novel chemistries via generative design. This position is ideal for someone with deep expertise in machine learning, deep learning (particularly for building biologically meaningful representations of chemical structures), and computational chemistry, sciences and who is committed to building a high-preforming team.Successful candidates will be able to thrive in a fast-paced, action-oriented, team environment and display a clear passion for science and impact. The role offers a unique opportunity to help drive the strategy of an early stage, big concept biotech. The candidate must be an entrepreneurial, highly motivated and purpose-driven leader who is able to strategically build high-performing teams. The successful candidate will have a track record of accomplishments in data science/machine learning as well as demonstrated high-impact research in academia or industry. S(he) must exhibit excellent leadership, project management, and strong collaboration and communication skills. S(he) should be ready to champion new ideas and lead breakthrough method development in a very dynamic and innovative environment.?Key Responsibilities:Develop the vision and strategic plan for FL94's machine learning platform, driving novel discoveries in small molecule chemistry. Build and lead the data science team translating small molecule and proteomic drug discovery challenges into breakthroughs via deep learning applied to computational chemistry. Own the philosophy and strategy behind core machine learning technology and applications. Develop a robust data portal that will enable the application of generative models to proprietary chemoproteomics data. Define team mission and propose org structure and interaction model to ensure for successful execution. Oversee the development and prototyping of novel ML algorithms for drug discovery problems. Ensure effective training and validation of large deep learning models at scale.? Identify and act upon new areas of applied research that can further the platform's ability to have therapeutic impact. Work collaboratively in cross-functional chemistry, proteomics, drug discovery and AI/machine learning teams.? Partner across the organization to align data generation with infrastructure, innovative approaches, and data integration strategies. Communicate strategy, R&D progress to leadership & actively engage in outreach to external advisors. Prepare and deliver scientific updates to the executive leadership team, board of directors, and company advisors.? Assemble and manage machine learning and data science Scientific Advisory Boards. Embody FL94's core mission to enable generative design of protein editing chemistries and live and set a culture that is highly resilient, optimistic, innovative, solutions-oriented, transparent, and inclusive.Qualifications:A proven leader with a Ph.D. in machine learning, statistics, computer science, mathematical modeling, operations research, or related field computational chemistry, or other highly-technical fields from a recognized higher-education establishment. >3-10 years of experience in the area of computational science and artificial intelligence with track record and experience track record of solving real-world problems. Ideally candidates would have deep experience in small molecule drug discovery, talented candidates without such experience will also be considered. Demonstrated mastery of a broad array machine learning and deep learning approaches across a variety of deep learning architectures, deep learning libraries, and cloud-computing development environments, with an emphasis on ML techniques for studying small molecule drug development (particular attention paid to candidates with deep Graph Neural Network experience). Proven ability to innovate on generative machine learning models with novel architectures, deeply informed views on areas for potential creativity, and a high degree of flexibility in structuring models and workflows to adapt to experimental needs and data streams. Demonstrated ability to effortlessly interface with, communicate with, and motivate diverse teams of domain experts, including experimental platform builders. Foundational understanding of biology and chemistry in particular knowledge of chemoproteomics and small molecule drug development is preferred, but not required. Demonstrated ability to successfully recruit, hire, and develop a team of machine learning scientists with an emphasis on team member career growth and advancement. Excellent oral and written communication skills, for both technical and more general audiences.Location:? Cambridge, MAMore About Flagship PioneeringFlagship Pioneering is a biotechnology company that invents and builds platform companies, each with the potential for multiple products that transform human health or sustainability. Since its launch in 2000, Flagship has originated and fostered more than 100 scientific ventures, resulting in more than $90 billion in aggregate value. Many of the companies Flagship has founded have addressed humanity's most urgent challenges: vaccinating billions of people against COVID-19, curing intractable diseases, improving human health, preempting illness, and feeding the world by improving the resiliency and sustainability of agriculture. Flagship has been recognized twice on FORTUNE's "Change the World" list, an annual ranking of companies that have made a positive social and environmental impact through activities that are part of their core business strategies, and has been twice named to Fast Company's annual list of the World's Most Innovative Companies. Learn more about Flagship at www.flagshippioneering.com.Flagship Pioneering and our ecosystem companies are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.At Flagship, we recognize there is no perfect candidate. If you have some of the experience listed above but not all, please apply anyway. Experience comes in many forms, skills are transferable, and passion goes a long way. We are dedicated to building diverse and inclusive teams and look forward to learning more about your unique background.Recruitment & Staffing Agencies: Flagship Pioneering and its affiliated Flagship Lab companies (collectively, "FSP") do not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to FSP or its employees is strictly prohibited unless contacted directly by Flagship Pioneering's internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of FSP, and FSP will not owe any referral or other fees with respect thereto.

The Company:FL85 is a Flagship backed, privately held biotechnology company on a mission to transform the current approach to information molecule therapeutics to unlock their full therapeutic potential. In recent years, we have begun to experience the power of information molecules in treating historically undruggable diseases and in designing therapies with unprecedented turnaround times. FL85's platform integrates nanoparticle development with world-class informatics technologies and a novel pipeline of experimentation and discovery to drive a new generation of highly effective, therapeutically relevant information molecule therapies. We are seeking collaborative, relentless problem solvers that share our passion for impact to join us!FL85 was founded by Flagship Pioneering. Flagship Pioneering conceives, creates, resources, and develops first-in-category life sciences companies to transform human health and sustainability. Since its launch in 2000, the firm has applied a unique hypothesis-driven innovation process to originate and foster more than 100 scientific ventures, resulting in over $30 billion in aggregate value. The current Flagship ecosystem comprises 37 transformative companies, including: Moderna Therapeutics (NASDAQ: MRNA), Indigo Agriculture, Sana Biotechnology (NASDAQ: SANA), Generate Biomedicines, and Tessera Tx.Position Summary:FL85 is seeking a Head of Machine Learning to drive the vision, strategy, and execution across machine learning and data generation efforts.Responsibilities:Develop the vision at FL85 for the machine learning team to drive novel discoveries in information molecule deliveryOwn philosophy and technical strategy behind core machine learning platform technology and applicationsDefine, innovate, and execute on a generative approach for deliveryCollaborate with the experimental team to design data generation experiments and pipelines to support machine learning needs, creating a data-driven organization. Build and lead the machine learning teamDefine team mission, org structure, and interaction model to ensure successful execution of multiple projects in parallelGrow the existing team to support both mission-critical projects and future R&D innovationEmbody FL85's core mission to transform R&D in information molecule medicines as we know it, and live and set a culture at FL85 that is highly resilient, optimistic, innovative, solutions-oriented, transparent, and inclusiveQualifications:Ph.D. in machine learning, statistics, computer science, mathematical modeling, operations research, or related fields from a recognized higher-education establishment>10 years of experience of machine learning leadership in the life sciences industry or in academiaDemonstrated mastery of a broad array machine learning and deep learning approaches across a variety of deep learning architectures, deep learning libraries, and cloud-computing development environments, with an emphasis on techniques for studying biodistribution, nucleic acid medicines, and macromolecule assemblyProven ability to innovate on generative machine learning models with novel architectures, deeply informed views on areas for potential creativity, and a high degree of flexibility in structuring models and workflows to adapt to experimental needs and data streamsDemonstrated ability to effortlessly interface with, communicate with, and motivate diverse teams, including experimental platform builders. This includes knowledge of in vivo screening techniques and how they can integrate into a computational workflow, as well as an ability to clearly and persuasively direct effective data generation strategies among experimental teams to support model needsDemonstrated ability to quickly move between high level vision and goals and the technical details required to trouble shoot model development and scaling on cloud-computing environment. Experience with multi-GPU and multi-node training of industrial scale models a plusDemonstrated ability to successfully recruit, hire, and develop a team of machine learning scientistsDemonstrated ability to mentor and grow a team of junior scientists with varying backgrounds and skillsets, with an emphasis on team member career growth and advancement as machine learning scientistsExcellent oral and written communication skills, for both technical and more general audiencesProven problem-solving skills, collaborative nature and adaptability across disciplines, with unquestionable personal integrity and ability to attract, inspire, develop, and retain an exceptional team across all levelsLocation: Cambridge, MAFlagship Pioneering and our ecosystem companies are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.At Flagship, we recognize there is no perfect candidate. If you have some of the experience listed above but not all, please apply anyway. Experience comes in many forms, skills are transferable, and passion goes a long way. We are dedicated to building diverse and inclusive teams and look forward to learning more about your unique background.Recruitment & Staffing Agencies: Flagship Pioneering and its affiliated Flagship Lab companies (collectively, "FSP") do not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to FSP or its employees is strictly prohibited unless contacted directly by Flagship Pioneering's internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of FSP, and FSP will not owe any referral or other fees with respect thereto.