Computational Scientist (Data Science/ML)

TL;DR

Computational Scientist (Data Science/ML): Directing data generation and analysis projects designed to determine the underlying factors contributing to health and disease with an accent on analysis of large multi-omic datasets. Focus on identifying biological features relevant to human health using single cell and spatial transcriptomic approaches.

Location: On-Site in Cambridge, MA

Salary: $88,000.00/yr - $124,000.00/yr

Company

The hirify.global of MIT & Harvard is an interdisciplinary group with expertise in computational analysis, genomics, microbiology, and immunology.

What you will do

• Oversee data generation and data analysis across various internal and external collaborations.
• Perform analyses using current processes and identify, propose, and implement improvements to ensure output of high-quality datasets.
• Work with other team members and leadership to plan project requirements and timelines, shift priorities as needed, and efficiently execute project tasks.
• Identify and help solve methodological problems, including adjustments to experimental and computational protocols to ensure generation of high-quality datasets suited to answer core biological questions.
• Use single cell and spatial transcriptomic approaches to understand tissue organization and how they are altered in disease environments such as chronic inflammation.
• Participate in writing papers and grant proposals.

Requirements

• Ph.D. in Computational Biology, Computer Science, Physics, Math, Statistics, or related quantitative fields.
• 4 to 5 years of experience working on projects utilizing bioinformatics, data analysis and statistics.
• Excellent critical thinking, research, and analytical skills.
• Excellent communication and interpersonal skills and the ability to work with biologists, computational biologists, data scientists, and software engineers.
• Must be able to work independently as well as part of a team in a fast-paced, highly collaborative environment.
• Scientific and numerical programming in Python or R and knowledge of Machine Learning methods.

Culture & Benefits

• Competitive benefits package including medical, dental, vision, life, and disability insurance.
• 401(k) retirement plan.
• Flexible spending and health savings accounts.
• At least 13 paid holidays and winter closure.
• Paid time off, parental and family care leave, and an employee assistance program.