Job Description
About Revalia:
Revalia is pioneering Human Data Trials - a new paradigm for accelerating translational medicine by linking donated human organs to cutting-edge research. Our platform provides biotech, pharma, and medtech innovators with unparalleled access to human biology at scale, reducing reliance on animal models and speeding the path to patients.
About the role: Revalia is pioneering Human Data Trials: a new paradigm for accelerating translational medicine by linking donated human organs to cutting-edge research. Our platform provides biotech, pharma, and medtech innovators with unparalleled access to human biology at scale, reducing reliance on animal models and speeding the path to patients.
We are seeking a Data Scientist with a strong foundation in multi-omics data processing and a broader command of computational biology and bioinformatics. The ideal candidate brings both the versatility to integrate and analyse multi-omics datasets, spanning genomics, transcriptomics, and proteomics, and the technical depth to extract meaningful signal from complex, high-dimensional biological data.
In this role, you will design and maintain robust analytical pipelines that underpin our data platform, supporting the translation of large-scale biological datasets into actionable scientific insight. You will work at the intersection of research and engineering, contributing to infrastructure that scales with our programs and delivers analytical capabilities that directly shape our scientific and operational priorities.
We are looking for someone who combines advanced programming proficiency with a solid grounding in statistical and mathematical modelling, and who brings genuine intellectual curiosity to the problems they work on. The candidate must have an interest in (or prior exposure to) organ perfusion biology and ex vivo research models.
What you'll do - Work with our Human Data Trials Operations, Innovation, and Engineering teams to answer scientific questions by utilizing available data and models
- Design and execute pipelines for next-generation sequencing (NGS) data processing
- Integrate omics data with other biological data types (e.g., clinical metadata, imaging, sensor data) for multi-modal analysis
- Perform statistical and machine learning-based analyses to detect patterns, quantify phenotypes, and support hypothesis-driven research
- Collaborate cross-functionally with scientists, software developers, and domain experts to define project goals and deliver actionable insights
- Maintain and optimize analysis pipelines for scalability and reproducibility using version control and containerized environments (e.g., Docker)
- Present findings through reports, visualizations, and scientific publications or presentations
- Stay current with advances in omics analysis, AI/ML techniques, and biological imaging technologies
Qualifications - Proficiency in analysis of at least two omics data types (e.g., bulk and single-cell RNA-seq, proteomics, metabolomics) with demonstrated experience integrating across modalities
- Familiarity with standard bioinformatics toolkits (e.g., Seurat, Scanpy, DESeq2, limma, or equivalent) and awareness of when to use them
- Experience building and maintaining reproducible pipelines (Nextflow, Snakemake, or similar)
- Hands-on experience with multi-omics data integration frameworks (e.g., MOFA+, DIABLO, Weighted Correlation Network Analysis) and an understanding of their assumptions and limitations
- Familiarity with pathway enrichment and network-based analysis approaches (e.g., GSEA, ORA, STRING, or similar) to contextualize multi-omics findings biologically
- Comfortable working with reference databases and annotation resources relevant to the omics types in scope (e.g., Ensembl, UniProt, MSigDB, KEGG)
- Strong proficiency in Python and/or R for data science and omics analysis
- Solid knowledge of version control systems (Git and GitHub) with collaborative workflows
- Familiarity with Linux environments, high-performance computing, and cloud-based workflows (AWS)
- Master's or Ph.D. in Computational Biology, Bioinformatics, Bioengineering, Computer Science, or a related field and 3+ years of experience in data science with knowledge of the biomedical industry
- Accepted : Master's or Ph.D. in Electrical Engineering, Statistics, Applied Mathematics, or a related field and 5+ years of experience in data science with knowledge of the biomedical industry
Bonus Skills - Experience with dimensionality reduction and clustering methods as applied to high-dimensional biological data (PCA, UMAP) and the ability to critically interpret outputs
- Experience with ETL processes and high-performance data pipelines, including relevant data formats (Parquet, Delta Lake, Iceberg)
- Proficiency in processing and analyzing imaging data, including microscopy and/or CT imaging
- Experience with imaging toolkits such as CellProfiler, FIJI/ImageJ, or Python-based equivalents (e.g., scikit-image, napari)
Culture Requirements - Model Revalia Bio's Company Values of world class collaboration, cultivating deep trust, relentless adaptability, and to persevere with uncommon grit.
- Display high levels of personal integrity and be able to express opinions or concerns directly and without triangulation, demonstrating honesty, openness, and a positive outlook at all times.
- Seek to promote collaboration and be curious (and not judgmental) about opposing opinions.
- Ability to adapt to changing business needs or to personal development opportunities. Able to fully embrace feedback and training to continuously improve performance and relationships.
- Display determination and perseverance to problem solve, create, innovate, and develop.
- Demonstrate commitment to own personal growth and development. Be "all-in" when participating in Company activities and programs related to personal and professional development and training.
- Commitment to the growth and development of their team including participation in 360 reviews where requested.
Location This position is fully remote with the expectation to travel quarterly to our office in New Haven, CT.
Compensation, Benefits, and Diversity Commitment Our compensation structure includes a base and semi-annual bonus. The range for this role is $150,000 - $180,000 annually. Revalia Bio operates a growth culture focused on High Performance Teams and individual personal development. Along with monthly coaching, we provide extensive opportunities for professional development, training and mentoring.
Revalia Bio provides comprehensive benefits including Health, Dental, Vision, Retirement, Disability, and a wellness program available on day one of employment. Full-time employees are eligible for up to 5 paid sick days and 23 PTO days per calendar year, excluding national holidays.
Revalia Bio acknowledges and celebrates the diversity of our workforce, is dedicated to creating an equitable workplace, is committed to fostering an inclusive environment, and aims to create a workplace culture where every individual feels a sense of belonging. We are an equal opportunity employer and do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, gender, gender identity or expression, age, disability, or genetic makeup. For individuals with disabilities who would like to request an accommodation please email [click to reveal email address] culture@revaliabio.com .
#Fulltime
The pay range for this role is:
150,000 - 180,000 USD per year (Remote)
Job Tags
Full time, Work at office, Remote work