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Team Leader, Scientist
Thermo Fisher Scientific, Cambridge
Job DescriptionThermo Fisher Scientific Inc. is the world leader in serving science, with annual revenue exceeding $50 billion. Our Mission is to enable our customers to make the world healthier, cleaner, and safer. Whether our customers are accelerating life sciences research, solving sophisticated analytical challenges, improving patient diagnostics and therapies, or growing in their laboratories, we are here to support them.Location/Division Specific InformationCambridge, MA / Customer ChannelsHow will you make an impact?You will lead a team supporting multiple areas within Product Development, SUL, operations by ensuring operational coverage and support to perform daily activities at the customer site.What will you do?Provide reporting of metrics and data analyticsParticipate in candidate selection process, train, and evaluate staff's performance Lead performance measurements to optimize the customer's perceptionsAttend and participate in meetings and conference call with internal and external customersAdhere to safety protocols as outlined by the client and Thermo Fisher ScientificProvide cross coverage for other service areasAssist with production runs on a multi-kilo scale Operation and process monitoring of reaction equipment Provide glass washing and sterilization services and maintain a constant supply of clean and sterile lab glass Execution of equipment commissioning and qualification; Equipment maintenance and mechanical support for research equipment, assist with design and equipment modifications, develop and execute preventative maintenance schedules, review and upkeep of safe operating guidelines Partner with research staff and Environmental Health and Safety to ensure safe operations at all timesEnforce all customer cGMP SOP's, maintain cGMP logs daily, archive GMP documents, and maintain compliance with cGMP training How will you get here?EducationBachelor's Degree in life sciencesExperience, Knowledge, Skills, Abilities3+ years of laboratory experience Experience in laboratory settings and GLP/GMP environments, preferredDemonstrated ability to deliver excellent customer service skills, data integrity, and experience working with various systemsAbility to work a flex schedule is required, some weekends and holidaysMust maintain Thermo Fisher Scientifics' Four-I ValuesStrong interpersonal and collaboration skills to work alongside various levels of personnel at the customer site including senior leadershipIntermediate skills with Microsoft Office applicationsThis position has not been approved for relocation assistance.Our Mission is to enable our customers to make the world healthier, cleaner and safer. Watch as our colleagues explain 5 reasons to work with us. As one team of 100,000+ colleagues, we share a common set of values - Integrity, Intensity, Innovation and Involvement - working together to accelerate research, solve complex scientific challenges, drive technological innovation and support patients in need. #StartYourStory at Thermo Fisher Scientific, where diverse experiences, backgrounds and perspectives are valued.Apply today! http://jobs.thermofisher.comThermo Fisher Scientific is an EEO/Affirmative Action Employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability or any other legally protected status.Accessibility/Disability AccessJob Seekers with a Disability: Thermo Fisher Scientific offers accessibility service for job seekers requiring accommodations in the job application process. For example, this may include individuals requiring assistance because of hearing, vision, mobility, or cognitive impairments. If you are a job seeker with a disability, or assisting a person with a disability, and require accessibility assistance or an accommodation to apply for one of our jobs, please submit a request by telephone at 1-855-471-2255*. Please include your contact information and specific details about your required accommodation to support you during the job application process.This telephone line is reserved solely for job seekers with disabilities requiring accessibility assistance or an accommodation in the job application process. Messages left for other purposes, such as not being able to get into the career website, following up on an application, or other non-disability related technical issues will not receive a response.
VP, Machine Learning
Flagship Pioneering, Cambridge
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.
Pioneering Medicines: Director, Machine Learning and Data Science
Flagship Pioneering, Cambridge
What if... We could harness the power of Flagship's scientific platforms and create novel treatment options that benefit more patients, sooner?Pioneering Medicines, an initiative of Flagship Pioneering, is building a world-class biopharmaceutical R&D capability focused on conceiving and developing life-changing treatments for patients by harnessing the power of Flagship's scientific platforms and applying those innovative approaches to serious diseases with unmet medical need. Unique to Pioneering Medicines' approach is the opportunity to combine platforms to create truly novel and potentially transformative treatments.Position SummaryPioneering Medicines is seeking a Director of Machine Learning and Data Science to join the Research Team. The ideal candidate would have a deep experience in biotechnology as applied to drug discovery with a thorough understanding of machine learning and artificial intelligence technologies and techniques, and a proven track record of designing, developing, and deploying innovative machine learning solutions within a drug discovery setting.In this role you will help forge and maintain partnerships between Pioneering Medicines and our Flagship Pioneering AI/ML partner companies and business units to assist our understanding of platform technologies and how they may be applied to the discovery, design and development of novel targets and therapeutics. Additionally, as a subject matter expert within Research, you will provide guidance and leadership to project teams implementing AI/ML solutions from the Flagship ecosystem for the discovery and development of novel therapeutics.This role will be based at our Cambridge, MA location. We have a hybrid model and onsite presence 3 times per week is required.ResponsibilitiesForge partnerships with Flagship Pioneering AI/ML partner companies and business units, across the Flagship ecosystem, to better understand platform technologies and how they may be applied to the discovery, design and development of novel targets and therapeutics. Directly engage with scientists and Pioneering Medicine's Leadership to impart key insights gathered across the Flagship ecosystem and lead their incorporation into strategic planning. Ensure the validity and utility of AI/ML drug discovery approaches employed by Pioneering Medicines. As a subject matter expert, provide guidance and leadership to project teams implementing AI/ML solutions from the Flagship ecosystem for the discovery and development of novel therapeutics. Assess analytical needs across project teams and research functions to identify high-potential use cases for advanced analytics to propel advances in the therapeutic discovery pipeline. Work with the Bioinformatics team towards developing needed AI/ML tools as well as providing guidance on related inherent analyses.QualificationsPhD in Computer Science, Data Science, Biotechnology, Mathematics, Physics or a related field5+ years of AI/ML experience3+ years working within the biopharma industryExperience as a member or leader of drug discovery/preclinical project teams applying AI/ML techniques to biological or drug discovery applicationsFluency in Python, R or other broadly used programming languages. Deep understanding of machine learning algorithms and principles. Ability to explain complex topics to a non-technical audience. Ability to work in a fast paced, dynamic matrix environment.About Flagship Pioneering:Flagship 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.