- Senior
- Optionales Büro in Cambridge
SequestBio is an early-stage, pre-seed biotech startup dedicated to revolutionizing cancer therapy by understanding and re-engineering the tumor microenvironment. We are developing a pipeline of novel therapeutics and cutting-edge computational diagnostics (SaMD) to predict patient outcomes and guide treatment decisions. We are now looking for a key partner to join our founding team.
Your role as a founding leader:
- Lead the company’s bioinformatics vision and strategy, from data acquisition to insight generation.
- Build and own the analytical pipelines for processing and interpreting multi-omics data (RNAseq, DNA-seq, microarrays).
- Drive hypothesis generation by leveraging public (TCGA, GEO) and proprietary datasets to discover novel biomarkers and therapeutic targets.
- Execute critical analyses, including differential expression, gene set enrichment (GSEA), and pathway analysis, to guide our research and development.
- Contribute directly to investor pitches, grant applications (SBIR/STTR), and scientific publications that will build the company's value.
- Help build and eventually lead a future team of data scientists and bioinformaticians post-funding.
Who you are:
- You hold a Ph.D. in Bioinformatics, Computational Biology, Genomics, or a related field.
- You possess a true entrepreneurial mindset with a high tolerance for ambiguity and a passion for
building things from scratch. - You are motivated by impact and the potential of a significant ownership stake in a high-growth
venture. - You have hands-on expertise in the analysis of NGS data (RNA-seq, DNA-seq).
- You are proficient in R or Python and comfortable in a Linux/Unix environment.
- You have a strong desire to translate scientific research into real-world clinical products.
This will be an equity based position open to market compensation post- funding.
Preferred Qualifications
- Experience in cancer biology, immunology, or the tumor microenvironment is highly desirable.
- Familiarity with machine learning for biomarker discovery, predictive modeling, and SaMD development.
- Previous exposure to the startup ecosystem, venture capital, or grant writing.
