Computational Scientist (Single-Cell Multiomics)

TL;DR

Computational Scientist (Single-Cell Multiomics): Developing novel, scalable computational methods and robust analytical pipelines for ultra high-throughput single-cell multiomic data with an accent on advanced analyses of transcriptomics, proteomics, and epigenomics. Focus on innovating algorithms, building high-performance pipelines, and extracting critical biological insights from complex datasets.

Location: Onsite in Cambridge, MA five days per week.

Salary: $88,000–$124,000 USD Annual

Company

The hirify.global of MIT & Harvard is a research institution focused on developing novel computational methods for biological data.

What you will do

• Innovate and engineer novel computational methods and algorithms to address critical analytical challenges in single-cell multiomic datasets.
• Design, build, optimize, and maintain robust analytical pipelines for massive single-cell datasets, ensuring scalability and reproducibility across HPC and cloud environments.
• Contribute significantly to open-source software development for community use and future projects.
• Develop and apply specialized analytical techniques for quantitative assessment of Perturb-seq and related single-cell perturbation screens.
• Execute in-depth, creative analyses on complex single-cell datasets to extract critical biological insights.
• Collaborate seamlessly with experimental teams, leveraging computational results to strategically guide and optimize novel experimental protocols.

Requirements

• Ph.D. degree in Computational Biology, Computer Science, or a related quantitative field with 2+ years of relevant work experience.
• Proven expertise in analyzing single-cell RNA-seq and related sequencing modalities, with a strong emphasis on computational methods development and innovation.
• Direct experience in the design and analysis of single-cell perturbation screens (e.g., Perturb-seq).
• Expert proficiency in Python & R for statistical analysis, algorithm development, and data visualization.
• Strong foundational knowledge of statistical and machine learning techniques applied to high-dimensional biological data.
• Excellent written and verbal communication skills for describing complex methods and algorithms.
• Must be able to work onsite in Cambridge, MA five days per week.

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; winter closure; paid time off; parental and family care leave.
• Employee assistance program.
• Opportunity to thrive in a fast-paced, rapidly changing environment.