Associate Principal / Principal Computational Biologist

Dewpoint Therapeutics; Boston (MA); Hybrid; USD 160,000 - 200,000; Full time

Job summary

Dewpoint Therapeutics in Boston is looking for an Associate Principal or Principal Computational Biologist to drive innovative drug discovery through multi-omics data analysis. You will collaborate with a team to design, execute, and interpret bioinformatics analyses that guide scientific decisions.

This role requires deep expertise in statistical methods and significant knowledge of RNA-seq and proteomics. Offered salary ranges from $160,000 to $200,000, with hybrid work potential.

Qualifications

• A PhD in Bioinformatics, Computational Biology, Genomics, or a related discipline.
• 4+ years of industry experience post-PhD in computational roles.
• Hands-on experience with bulk transcriptomic data.
• Expertise in statistical methods for RNA-seq and proteomics datasets.

Responsibilities

• Translate research questions into experiments and analyses.
• Design and implement computational approaches for ‘omics data.
• Run and refine bioinformatics analyses and pipelines.
• Communicate results effectively to colleagues.

Skills

Statistical methods for ‘omics data analysis

Proficiency in R and/or Python

Experience with RNA-seq data

Data manipulation and analysis

Collaborative working style

Integration of ‘omics data

Education

PhD in a relevant computational field

Tools

AWS

Git

Nextflow

Job description

Overview

Dewpoint Therapeutics is a clinical-stage drug discovery biotech company translating condensate biology into innovative medicines. Biomolecular condensates are reshaping our understanding of biology, and our highly collaborative team is working to turn these insights into breakthrough therapies for some of the toughest diseases.

Role

We are seeking an exceptional Associate Principal or Principal Computational Biologist / Bioinformatics Data Scientist with deep expertise in multi-omics data analysis to support our drug discovery and development programs. In this role, you will work closely with biologists and chemists to translate complex research questions into well-designed omics studies, and you will lead the design, execution, and interpretation of bioinformatics analyses that inform program decisions.

Success in this role will require both deep expertise in statistical methods for ‘omics data analysis, particularly of RNA-seq and proteomics data, and the ability to interpret and distill complex results into clear, impactful insights.

You will be a core member of a collaborative, cross-functional Data Science and Engineering team employing diverse methods and data modalities across the R&D pipeline, from imaging and chemical structure to biostatistics and AI. This is an opportunity to have significant scientific impact in a purpose-driven, supportive startup environment, with substantial ownership and room for growth. The role reports to the Head of Data Science and Technology and is based in Boston, with the potential for hybrid work.

Responsibilities

• Working with bench science colleagues to translate research questions into appropriate experiments and bioinformatics analyses
• Designing and implementing new computational approaches to analyze ‘omics data in ways that address novel questions arising in our discovery and development efforts
• Running and refining bioinformatics analyses and pipelines for the analysis of ‘omics data, particularly RNA-seq, Proteomics, Phospho-proteomics, and WGS data
• Integrating literature and other datasets, such as pathway / network databases, to derive biological insights and get to ‘so what’ results
• Synthesizing and communicating results effectively to colleagues, and iteratively refining methods based on their feedback
• Owning delivery of bioinformatics workstreams end-to-end, potentially including the mentoring and coaching of junior colleagues
• Continually learning and growing as a bioinformatician, identifying emerging methods and tools to implement where appropriate
• Contributing to developing bioinformatics and data science understanding, capabilities, and standards across the organization

Role Qualifications

• A PhD in a relevant computational field such as Bioinformatics, Computational Biology, Genomics, or a related discipline
• 4+ years of industry experience (in pharma or biotech) post-PhD in computational roles, with demonstrated impact
• Proficiency in R and/or Python, with a high level of comfort in data manipulation and analysis
• Hands-on research experience with bulk transcriptomic data, ideally also with experience of single-cell, proteomic, phosphor-proteomic, and genomic data
• Expertise in statistical methods for ‘omics data analysis, particularly for RNA-seq and proteomics datasets (e.g., differential gene, gene-set, and pathway-level analyses), including quality control methods
• Experience integrating ‘omics data with pathway/network datasets to draw biologically meaningful insights
• Solid understanding of molecular biology principles, ideally within a research or drug discovery setting
• Outcome-driven approach with the ability to explore alternative methods pragmatically while prioritizing high-impact solutions
• Collaborative and communicative style, adept at working with colleagues across varying levels of expertise and seniority

Beneficial

• Experience with analysis of biomarker data from ongoing clinical trials
• Experience working in drug discovery programs in oncology, neurology, and / or metabolism
• Experience working in the cloud (AWS) and with code management tools (Git) in collaborative team environments, including with containers and workflow orchestration tools such as Nextflow
• Experience working with knowledge graphs
• Experience training and working with machine learning models

U.S. Base Salary Range

$160,000 - $200,000

The anticipated range provided is based on what the company believes is a reasonable estimate for the base salary pay range for this job at the time of posting. Actual base salary offered may be based on a number of factors, including level of education attained, specific and unique skills, years of relevant experience, competencies, certifications or other professional licenses held, and the location in which the applicant lives and/or from which they will be performing the job. The actual base salary offered will be in accordance with state or local minimum wage requirements for the job location, and other job-related factors permitted by law.