Bioinformatician

Gameto; United States; On-site; USD 70,000 - 100,000; Full time

Benefits offered by this job

Opportunity to work with top scientists and engineers

Contribution to women's health innovation

Inclusive work environment

Job summary

A pioneering biotechnology company in women's health is seeking a Bioinformatics Scientist to lead the analysis of multi-omics data and contribute to the development of innovative therapeutics. This role requires strong programming and statistical modeling skills, as well as the ability to collaborate effectively in a cross-functional environment. The ideal candidate will have experience in analyzing sequencing datasets and a passion for advancing women's health through data-driven insights.

Qualifications

• 1–3+ years of hands-on experience in bioinformatics, preferably in biotech.
• Proficiency in analyzing single-cell and bulk RNA sequencing data.
• Experience with AI/ML frameworks and their application in analytics.

Responsibilities

• Analyze single-cell RNA sequencing data to identify cell state transitions.
• Integrate multi-omics datasets to define cell identity.
• Support experimental design and statistical analysis for studies.

Skills

Analysis of high-throughput sequencing data

Programming in R and/or Python

Statistical modeling techniques

Machine learning and AI frameworks

Strong communication skills

Education

Bachelor's Degree or Masters in Bioinformatics, Computational Biology, Systems Biology

Tools

AWS

Job description

This range is provided by Gameto. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$70,000.00/yr - $100,000.00/yr

Additional compensation types

Annual Bonus

Direct message the job poster from Gameto

Overview

Gameto is seeking a dynamic and collaborative Bioinformatics Scientist to join our R&D team in building the next generation of cell-based therapies for women’s health. This role offers a unique opportunity to apply cutting-edge computational biology approaches to advance the characterization, optimization, and control of cell therapy products. You’ll help shape the molecular foundation of Gameto’s therapeutic pipeline through rigorous analysis of high-dimensional datasets, including single-cell and bulk transcriptomics, proteomics, and product-release data.

If you are passionate about translating complex datasets into actionable biological insights, thrive in a collaborative biotech environment, and are excited to drive innovation at the intersection of computation and cell therapy, this is the opportunity for you.

About the Role

As a Bioinformatics Scientist, you will lead the analysis and integration of multi-omics data to understand cell state transitions, identify biomarkers, and support product development and manufacturing processes. Your work will be instrumental in shaping cell product identity and mechanism of action, supporting release assay development, and generating insights that enable data-driven decision-making across R&D, CMC, and Quality teams.

We’re looking for an individual with strong analytical acumen, fluency in programming and statistical modeling, and a collaborative mindset who is eager to contribute to a mission-driven organization.

Key Responsibilities

• Analyzing single-cell and bulk RNA sequencing data to identify cell state transitions, molecular signatures, and phenotypic markers relevant to product development and potency.
• Integrating multi-omics datasets, such as transcriptomics, proteomics (mass spectrometry), and flow cytometry, to define cell identity and understand mechanisms of action.
• Supporting experimental design and statistical analysis for research and preclinical development studies.
• Analyzing data from release assays (e.g., genomic integrity, vector site integration) and supporting development of QC metrics and dashboards.
• Collaborating with CMC and Quality teams to assist with assay qualification, stability studies, and manufacturing data analysis.
• Applying machine learning and AI frameworks for predictive modeling of cell therapy process parameters and quality attributes.
• Building and maintaining internal bioinformatics pipelines and dashboards for data analysis, visualization, and regulatory reporting.
• Staying current with advancements in computational biology, bioinformatics, and systems biology, and proposing innovative tools or methods to enhance research and manufacturing.
• Preparing datasets and interpretations for internal reports, regulatory submissions, and cross-functional team discussions.

Qualifications

• Bachelor’s Degree or Masters in Bioinformatics, Computational Biology, Systems Biology, or a related quantitative field.
• 1–3+ years of hands-on experience applying bioinformatics in a biotech, pharmaceutical, or academic research setting; experience in cell/gene therapy preferred.
• Proficiency in analysis of high-throughput sequencing data (scRNA-seq, bulk RNA-seq), proteomics, and flow cytometry datasets.
• Strong programming skills in R and/or Python; experience building reproducible pipelines and data visualization tools.
• Knowledge of statistical modeling techniques, including PCA, clustering, and differential expression analysis.
• Experience with AI/ML frameworks and their application to process modeling or manufacturing analytics is preferred.
• Strong proficiency in the use of AWS for data storage and analysis
• Excellent communication and interpersonal skills, with a proven ability to work across wet-lab, analytical, and manufacturing teams.
• Highly organized, curious, and resourceful, with a passion for solving complex biological problems using computational tools.

How to Apply

If you are excited about advancing women’s health through cutting-edge science and want to be part of a mission-driven team, we encourage you to apply today!

Please apply on LinkedIn and with the following materials together in a single PDF document:

• A cover letter that highlights your experience in bioinformatics and relevance to this role
• Shares your interest in Gameto and anticipated start date
• Provides any other information you’d like us to consider
• CV/resume

Why Join Us?

At Gameto, you’ll have the chance to work alongside top scientists and engineers at the intersection of cell biology, computational science, and women’s health. As a Bioinformatics Scientist, your insights will shape the development, quality, and impact of novel therapies. Your work will contribute directly to advancing women’s health through innovation and precision.

About Gameto

Gameto is a pioneering biotechnology company in women’s health, co-founded by Dina Radenkovic, a physician-turned-entrepreneur, and Martin Varsavsky, a leader in fertility innovation and founder of the Prelude Network.

With our groundbreaking cell engineering platform—developed through a collaboration with Harvard University’s Wyss Institute and Professor George Church’s lab at Harvard Medical School—we aim to create treatments for menopause and infertility affecting the female reproductive system. Our scientific approach surpasses traditional therapeutic modalities and sets a new gold standard for research and development in the field.

Backed by $73 million raised in Series A and B funding from Insight Partners, Future Ventures, RA Capital, Two Sigma Ventures, Lux Capital, and others as well as $10 million from ARPA-H, Gameto is committed to transforming women’s healthcare through bold innovation.

Read about us in: MIT Technology Review, The New Yorker, The Boston Globe, and Stat News.

Our Values and Commitment to Diversity

At Gameto, we value kindness, collaboration, authenticity, and diversity. We are an equal opportunity employer and are committed to creating an inclusive environment. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.