Senior Bioinformatics Engineer

Job Description

About the Role

As we expand our data platform, we are looking for a Senior Bioinformatics Engineer with cross-disciplinary strengths in cheminformatics to help us scale our scientific data infrastructure and power smarter product discovery, categorization, and analysis.

You will join a growing team focused on enriching and connecting structured and unstructured data from scientific publications, product catalogs, and biomedical databases. This role combines deep bioinformatics expertise with the ability to process and leverage chemical data, supporting Labviva’s mission to create context-aware tools for researchers and procurement professionals.

What You'll Do

• Design and maintain scalable pipelines for parsing, transforming, and annotating biological and chemical data (e.g., genomics, proteomics, compound metadata).Build and integrate tools that connect scientific product metadata with biological functions and molecular structure data.
• Apply bioinformatics methods to map reagents, assays, and other research products to relevant pathways, targets, or omics signatures.
• Normalize, curate, and classify molecular and compound data using cheminformatics libraries and public repositories (e.g., PubChem, ChEMBL, UniProt, Ensembl).
• Work closely with engineers, data scientists, and domain experts to surface insights in our marketplace using semantic search, knowledge graphs, and enrichment algorithms.
• Collaborate cross-functionally with Product and Science teams to refine data taxonomies and ontology-driven models.
• Contribute to Labviva’s scientific data strategy and technical roadmap.

What You’ll Bring

• M.S. or Ph.D. in Bioinformatics, Computational Biology, Computational Chemistry, or a related discipline.
• 3+ years of experience working with biological data, particularly omics data formats (e.g., FASTQ, VCF, GTF).
• Proficiency in Python (preferred) and JS, with familiarity using libraries such as Biopython, Pandas, or RDKit.
• Experience working with chemical structures, SMILES/InChI notations, and property prediction tools.
• Understanding of molecular biology, genomics, and small molecule data integration.
• Comfort working with scientific databases, APIs, and cloud-native tools (e.g., AWS, Docker).
• Bonus: experience with semantic technologies (e.g., ontologies, linked data, graph databases) or NLP applied to scientific literature.

About the Company

Labviva is on a mission to accelerate the pace of life science research. We connect researchers with suppliers of reagents, chemicals and instrumentation in an intuitive user-friendly platform that supports the priorities of scientists while staying compliant with purchasing rules.

We are a venture-funded start-up that acknowledges that the unique contributions of each team member drive our success. We commit to creating a diverse and inclusive workspace where people can make a positive impact. At Labviva, we invest in our employees and strongly believe that a culture of respect and support drives success for all involved.

We provide a competitive set of benefits including but not limited to a hybrid – office work option, health benefits, flexible time off, parental leave, competitive salary and equity, and Thursday company lunches.

We are an equal opportunity employer and building a diverse team is our top priority. At Labviva, we celebrate all. Help us build an inclusive community that will transform the life sciences industry. All qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity or expression, religion, national origin or ancestry, age, disability, marital status, pregnancy, protected veteran status, protected genetic information, political affiliation, or any other characteristics as outlined by federal, state or local laws, regulations, or ordinances.