Senior Scientist I, Computational Biology

Sail Biomedicines; Cambridge (MA); Presencial; USD 130.000 - 170.000; Jornada completa

Descripción de la vacante

Sail Biomedicines in Cambridge, MA is seeking a Senior Scientist I in Computational Biology to advance In VivoCAR-T programs and platform development. You will lead data-driven analyses across preclinical datasets, develop and benchmark methods, and contribute to capabilities spanning molecular modeling and AI-based therapeutic engineering.

The ideal candidate has a PhD and 3+ years in biotech or academia, with strong Python/R skills and a track record of leading computational projects while

Formación

• Ph.D. in Computational Biology, Bioinformatics, Systems Biology, Biophysics, or a related quantitative discipline.
• 3+ years of hands-on computational biology research in biotech, pharma, or academia.
• Record of independently leading substantial computational biology projects and developing/benchmarking analytical methods.
• Deep expertise in transcriptomics, multi-omics analysis, or quantitative analysis of preclinical studies.
• Strong grounding in statistical modeling addressing confounding, batch effects, and experimental design limitations.
• Strong programming skills in Python and/or R with reproducible workflows.

Responsabilidades

• Lead analysis of preclinical research datasets, including immunophenotyping, functional assays, and multi-omics data to support therapeutic development.
• Develop, adapt, and benchmark computational and statistical methods to address complex biological questions.
• Integrate and interpret data across studies to contextualize findings and strengthen understanding of therapeutics.
• Partner with experimental scientists to shape experimental design, interpret results, and prioritize follow-up studies.
• Build and maintain reproducible analysis workflows with clear documentation and version control (Git).
• Communicate findings, uncertainty, and implications with collaborators through visualizations, presentations, and written summaries.

Conocimientos

Python

R

Multi-omics

Transcriptomics

Statistical modeling

Data visualization

Educación

Ph.D. in Computational Biology or related

Herramientas

Git

R

Python

Descripción del empleo

Senior Scientist I, Computational Biology

Cambridge, MA

The Position

Join our team and drive the future of programmableeRNA eRNA In VivoCAR-T therapies- where artificial intelligence, targeted delivery systems and next-generation immunotherapy converge to redefinewhat'spossible for patients.As a key member of the Sail BiomedicinesComputational Biologyteam, the Senior Scientist I will operate at the interface ofplatform andprogram, applying data-driven approaches tochampionbroad platform effortsandhands-on analysis of preclinical datasetsto transform the treatmentlandscape for autoimmune diseases,and beyond.

Theideal candidate brings a strong foundation in computational biology and a record of independently developing, implementing, and critically evaluating computational methods for biological research. They should be comfortable reasoning through methodological assumptions, limitations, and biological implications of an analysis, from raw measurements through interpretation.

The role will directly support In VivoCAR-T immunology programs and platform development,with opportunities to contribute to building capabilities spanning molecular and systems modeling, computational protein design, and AI-based therapeuticengineering.

Responsibilities

• Lead analysis ofpreclinical research datasets,including immunophenotyping, functional assays, and multi-omics datato support therapeutic development
• Develop, adapt, and benchmark computational and statistical methods to address biological questions where standard workflows are insufficient
• Integrate and interpret data across studies leveraging internal and external resources to contextualize findings, evaluate consistency, and strengthen understanding of our therapeutics
• Partner with experimental scientists to shape experimental design, identify limitations, interpret results, and prioritize follow-up studies.
• Build and maintainreproducible analysis workflows, with clear documentation and version control(Git)with consistent data annotation and metadata practices.
• Communicate findings, uncertainty, and implications with collaboratorsthrough effective visualizations, presentations, and written summaries

Qualifications

Required:

• Ph.D. in Computational Biology, Bioinformatics, Systems Biology, Biophysics, or a related quantitative discipline.
• 3+ years of hands-on computational biology research in biotech, pharma, or academia.
• A record of independently leading substantial computational biology projects, including developing, adapting, and benchmarking analytical methods. Evidence may include methods development, reusable scientific software, publications, or documented contributions to therapeutic research.
• Deep expertise in at least one relevant area, such transcriptomics, multi-omics analysis, or quantitative analysis of preclinical studies, spanning data generation, quality control, methodological choices, and biological interpretation.
• Strong grounding in statistical modeling, with demonstrated ability to address confounding, batch effects, biological versus technical variation, and experimental-design limitations, and to assess uncertainty and sensitivity to analytical choices.
• Strong programming skills in Python and/or R, with experience independently developing and maintaining reproducible, well-documented scientific analysis code and workflows.
• Demonstrated ability to collaborate effectively with experimental scientists, take ownership of scientific questions, be a proactive force driving improvement, and being comfortable developing to contribute beyond your core area of expertise.

Preferred:

• Experience in CAR biology, immunology, cell therapy, or RNAtherapeutics.
• Experience integrating heterogeneousdatasetsacross studies or conducting meta-analysis
• Experience with workflow orchestration tools to cloud-based or collaborative data environments
• Track recordof impactful scientific contributions (publications or program support)
• Computational protein design and / or structural biology experience a plus

About Sail Biomedicines

Sail Biomedicines is building a new class offully programmable medicinesby integrating circular RNA (eRNA), targeted nanoparticle delivery, and advanced computational approaches. Our platform enables the systematic design and optimization of therapies, unlocking new possibilities across immunology and beyond.

Salary Range: $130,000 - $170,000

Sail Biomedicines is an Equal Opportunity Employer. Sail does not discriminate based on race, religion, color, sex, gender identity, sexual orientation, age, national origin, veteran status, or any other status protected under federal, state, or local law.