Associate Director, Data Science, Neuroscience Biomarker Discovery
MSD, Cambridge, Massachusetts, us, 02140
Overview
Associate Director, Data Science - Neuroscience Biomarker Discovery in Cambridge, MA. The role focuses on using AI/ML methodologies to analyze proteomics data and integrate with other data modalities to drive biomarker discovery and inform translational strategies in Neuroscience. The candidate will develop and deploy analytic pipelines to integrate proteomics data with other omics data from patient cohorts and preclinical models to identify biomarkers for disease severity or progression, pathological subtypes, and target pathway biology in Alzheimer's disease, Parkinson's disease, and pain. Collaboration with cross-functional teams of data scientists, geneticists, AI/ML scientists, bench biologists, and clinical colleagues will be required to drive neuroscience biomarker and translational strategies. Responsibilities
Lead proteomics data analysis efforts to drive precision biomarker discovery, inform translational strategies, and enable data-driven decision-making across multiple neuroscience drug discovery programs. Formulate and drive integrative analysis of biofluid proteomics data with other omics data modalities across multiple patient cohorts. Collaborate with AI/ML scientists to develop and incorporate new methodologies into existing frameworks to enhance data analysis capabilities. Collaborate with data generation, analytics and IT teams to build platforms for data sharing and knowledge dissemination. Work with experimental biologists, functional area experts, and clinical scientists to support drug discovery and development programs at various stages. Provide data science / computational biology input into research strategy, experimental design, provide data analytical input, and assist in interpreting results from both in-vitro and in-vivo studies. Communicate data analytic results effectively to project teams, key stakeholders, and the wider scientific community through written and verbal means, including proposals for further experiments, presentations at internal and external meetings, and publications in leading journals. Required Qualifications
PhD in Data Science, Computational Biology, Computer Science, Neuroscience, Bioinformatics, Biostatistics, Biophysics, Genomics, or related STEM discipline, with a minimum of 5 years of multimodal data analytics experience OR MS and 8+ years of experience. Demonstrated expertise in data science, computational biology, machine learning, omics data analysis, integration, and interpretation. Extensive experience with QC and analysis of data generated with various proteomics platforms (Olink/SomaScan/LC-MS/Seer). Proficient in one or more programming languages (e.g., Python, R), HPC environments and/or cloud-based platforms, as well as version control systems (e.g., GitHub). Ability to critically evaluate and apply novel data analysis methods in translational applications. Strong problem-solving skills, self-motivation, attention to detail, and ability to handle multiple projects. Experience conducting research in a collaborative environment with strong ability to communicate scientific questions, methodologies, findings and insights. Track record of contributions to peer-reviewed publications in data science or computational biology. Preferred Qualifications
Outstanding scientific caliber with capability to identify key analytic questions and formulate rigorous data analytic plans for drug discovery programs. Familiarity with public databases, repositories, and consortia for neurological disease research, especially those including biofluid proteomics data. Good understanding of neurobiology, particularly neurodegenerative diseases and pain biology. Salary range: $159,600.00 - $251,200.00. The successful candidate will be eligible for annual bonus and long-term incentive, if applicable. We offer a comprehensive package of benefits including medical, dental, vision, retirement benefits (401(k)), paid holidays, vacation, and sick days. More information about benefits is available on the company site. Working model: U.S. Hybrid Work Model; travel requirements: No Travel Required. EEO and Applicants
We are an Equal Employment Opportunity Employer. We provide equal opportunities to all employees and applicants and prohibit discrimination on the basis of race, color, age, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or other legally protected characteristics. Our policy is aligned with applicable federal and state laws. We can provide accommodations during the application process upon request. San Francisco and Los Angeles residents: we comply with local fair chance/hiring ordinances where applicable. To apply, please visit the company career site. This posting includes information about the job posting end date and conditions of employment.
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Associate Director, Data Science - Neuroscience Biomarker Discovery in Cambridge, MA. The role focuses on using AI/ML methodologies to analyze proteomics data and integrate with other data modalities to drive biomarker discovery and inform translational strategies in Neuroscience. The candidate will develop and deploy analytic pipelines to integrate proteomics data with other omics data from patient cohorts and preclinical models to identify biomarkers for disease severity or progression, pathological subtypes, and target pathway biology in Alzheimer's disease, Parkinson's disease, and pain. Collaboration with cross-functional teams of data scientists, geneticists, AI/ML scientists, bench biologists, and clinical colleagues will be required to drive neuroscience biomarker and translational strategies. Responsibilities
Lead proteomics data analysis efforts to drive precision biomarker discovery, inform translational strategies, and enable data-driven decision-making across multiple neuroscience drug discovery programs. Formulate and drive integrative analysis of biofluid proteomics data with other omics data modalities across multiple patient cohorts. Collaborate with AI/ML scientists to develop and incorporate new methodologies into existing frameworks to enhance data analysis capabilities. Collaborate with data generation, analytics and IT teams to build platforms for data sharing and knowledge dissemination. Work with experimental biologists, functional area experts, and clinical scientists to support drug discovery and development programs at various stages. Provide data science / computational biology input into research strategy, experimental design, provide data analytical input, and assist in interpreting results from both in-vitro and in-vivo studies. Communicate data analytic results effectively to project teams, key stakeholders, and the wider scientific community through written and verbal means, including proposals for further experiments, presentations at internal and external meetings, and publications in leading journals. Required Qualifications
PhD in Data Science, Computational Biology, Computer Science, Neuroscience, Bioinformatics, Biostatistics, Biophysics, Genomics, or related STEM discipline, with a minimum of 5 years of multimodal data analytics experience OR MS and 8+ years of experience. Demonstrated expertise in data science, computational biology, machine learning, omics data analysis, integration, and interpretation. Extensive experience with QC and analysis of data generated with various proteomics platforms (Olink/SomaScan/LC-MS/Seer). Proficient in one or more programming languages (e.g., Python, R), HPC environments and/or cloud-based platforms, as well as version control systems (e.g., GitHub). Ability to critically evaluate and apply novel data analysis methods in translational applications. Strong problem-solving skills, self-motivation, attention to detail, and ability to handle multiple projects. Experience conducting research in a collaborative environment with strong ability to communicate scientific questions, methodologies, findings and insights. Track record of contributions to peer-reviewed publications in data science or computational biology. Preferred Qualifications
Outstanding scientific caliber with capability to identify key analytic questions and formulate rigorous data analytic plans for drug discovery programs. Familiarity with public databases, repositories, and consortia for neurological disease research, especially those including biofluid proteomics data. Good understanding of neurobiology, particularly neurodegenerative diseases and pain biology. Salary range: $159,600.00 - $251,200.00. The successful candidate will be eligible for annual bonus and long-term incentive, if applicable. We offer a comprehensive package of benefits including medical, dental, vision, retirement benefits (401(k)), paid holidays, vacation, and sick days. More information about benefits is available on the company site. Working model: U.S. Hybrid Work Model; travel requirements: No Travel Required. EEO and Applicants
We are an Equal Employment Opportunity Employer. We provide equal opportunities to all employees and applicants and prohibit discrimination on the basis of race, color, age, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or other legally protected characteristics. Our policy is aligned with applicable federal and state laws. We can provide accommodations during the application process upon request. San Francisco and Los Angeles residents: we comply with local fair chance/hiring ordinances where applicable. To apply, please visit the company career site. This posting includes information about the job posting end date and conditions of employment.
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