Data Scientist

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Why join Harvard Medical School?

Harvard Medical School's mission is to nurture a diverse, inclusive community dedicated to alleviating suffering and improving health and well-being for all through excellence in teaching and learning, discovery and scholarship, and service and leadership.

You’ll be at the heart of biomedical discovery, education, and innovation, working alongside world-renowned faculty and a community dedicated to improving human health. This is more than a job - it’s an opportunity to shape the future of medicine.

Chirag Patel's group is seeking a Data Scientist with a focus on engineering and/or, mulit-omic integration analytics, machine learning, and AI, to join our team! We are located at the Department of Biomedical Informatics (https://www.chiragjpgroup.org/members.html), Harvard Medical School, with affiliations with the Harvard Data Science Institute, and Harvard School of Public Health, and Harvard associated hospitals. 

In this role you will develop efficient software solutions to analyze the impact of the exposome and genome on health outcomes in large datasets, and package these solutions as applications. 

The exposome is a promising and emerging modality to explain disease variation (papers in press in Nature Medicine) that impacts humans on all levels: from the single cell to populations, providing a rich substrate to do novel work. Candidates with experience in developing approaches to analyze large multi-modal datasets are encouraged to apply. Candidates who wish to deploy the next generation of exposome AI models are also highly encouraged to apply.  These positions come with data ready to analyze: the candidate can focus on developing engineering/software based solutions and writing papers from day 1. 

Check out our most recent papers and progress here: https://www.chiragjpgroup.org/pubs.html. 

Key Responsibilities:

• Translate exposome data science into real-world clinical applications.
• Help to design exposome foundation models for disease physiology.
• Characterize how an individual’s exposome drives variation in response to pharmaceutical intervention.
• Collaborate with interdisciplinary teams across Harvard (HSPH, HMS) and at partner universities to enhance data collection, cleaning, and integration processes, ensuring data accuracy and consistency.
• Produce engineering outputs, including databases, application programming interfaces, apps.
• Produce high-impact peer-reviewed articles, and presentations for academic and non-academic audiences.

Basic Qualifications:

• Minimum of five years’ post-secondary education or relevant work experience.

Additional Qualifications and Skills:

• Advanced degree (PhD/MS) in Computer Science/Informatics or related technical field strongly preferred. 
• Experience in managing projects. 
• Demonstrated expertise in large scale analysis and familiarity with health-related datasets. 
• Proficiency in statistical software (R, Python, etc.), and working knowledge of data management protocols.
• Experience with exposome or environmental data, multiomics integration, and exposure-wide association studies (ExWAS) and GIS preferred but not required. 

• Appointment End Date: This is a one-year term position from the date of hire, with the possibility of extension, contingent upon work performance and continued funding to support the position. 
• Standard Hours/Schedule: 35 hours per week
• Visa Sponsorship Information: Harvard University is unable to provide visa sponsorship for this position.
• Pre-Employment Screening: Identity
• Other Information: Please note that we are currently conducting a majority of interviews and onboarding remotely and virtually. We appreciate your understanding.
• Staying Informed About Your Application: Due to the high volume of applications, we may not always be able to reach out right away, but you can track your status anytime through the Careers@Harvard portal.

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Work Format Details

This position has been determined by school or unit leaders that all duties and responsibilities must be performed at a Harvard or Harvard-designated location. Certain visa types may limit work location. Individuals must meet work location sponsorship requirements prior to employment.

Salary Grade and Ranges

This position is salary grade level 057. Please visit  Harvard's Salary Ranges  to view the corresponding salary range and related information. 

Benefits

Harvard offers a comprehensive benefits package that is designed to support a healthy work-life balance and your physical, mental and financial wellbeing. Because here, you are what matters. Our benefits include, but are not limited to: 

• Generous paid time off including parental leave 
• Medical, dental, and vision health insurance coverage starting on day one 
• Retirement plans with university contributions 
• Wellbeing and mental health resources 
• Support for families and caregivers 
• Professional development opportunities including tuition assistance and reimbursement 
• Commuter benefits, discounts and campus perks 

Learn more about these and additional benefits on our Benefits & Wellbeing Page. 

EEO/Non-Discrimination Commitment Statement

Harvard University is committed to equal opportunity and non-discrimination. We seek talent from all parts of society and the world, and we strive to ensure everyone at Harvard thrives. Our differences help our community advance Harvard's academic purposes.

Harvard has an equal employment opportunity policy that outlines our commitment to prohibiting discrimination on the basis of race, ethnicity, color, national origin, sex, sexual orientation, gender identity, veteran status, religion, disability, or any other characteristic protected by law or identified in the university's non-discrimination policy. Harvard's equal employment opportunity policy and non-discrimination policy help all community members participate fully in work and campus life free from harassment and discrimination.