Bioinformatics Scientist

Position Summary

Reporting to the Bioinformatics Senior Principal Investigator, the Bioinformatics Scientist will focus on complex experimental and clinical bioinformatics data sets.

• Successfully execute bioinformatics studies in collaboration with other R&D wet-lab scientists, clinical teams and bioinformaticians on multiple defined priority areas.
• Effectively communicate results in R&D and corporate meetings, prepare abstracts/manuscripts for publications and conferences.
• Communicate with external stakeholders and vendors to recommend data capture technologies and pre-clinical experimental models best aligned with bioinformatics and wet-lab research objectives.
• Implement and validate newly identified bioinformatics analytical advances using bioinformatics practices for reproducible and modular analysis (markdown documentation, r/v env locks, git, nextflow, snakemake, dockers, conda).
• Review and improve existing in-house analysis R/Python workflows for large-scale Omics data using ML/AI integration to achieve efficient end-to-end analysis, scale-up, and predictive models.
• Apply statistical predictive models (including AI) to wet-lab experiments and processes typically involved in drug discovery/development pipelines working with teams of scientists.
• Prepare reports, presentations, abstracts, and manuscripts as required, following established standards for documentation, reproducibility of code and data integrity.

• A Ph.D. or equivalent experience in biology, chemistry or bioinformatics with strong skills in the analysis of Omics datasets (bulk/single-cell/spatial transcriptomics, WES, epigenomics, metabolomics and/or proteomics) in preclinical and clinical disease models.
• Experience using Machine Learning/Artificial Intelligence tools in the context of Omics, single cell Atlases, clinical disease modeling and/or drug development pipelines.
• Strong skills in bioinformatics, coding proficiency in R/Python, cloud computing environments. Experience with developing user-facing tools for data visualization and reporting (Shiny, Plotly, Quarto, etc) would be desirable.
• Strong understanding of cell biology especially with respect to basic biochemistry, cell signaling, cell replication, transcription, translation processes.

Celcuity is a publicly traded commercial‑stage biotechnology company developing targeted therapies for multiple solid tumor indications. The company's first FDA‑approved product is REVTORPYK (gedatolisib), targets all class I isoforms of PI3K and the mTOR complexes to comprehensively block the PAM pathway. The PAM pathway is an important signaling pathway involved in many cancers and has historically been challenging to target.

A Phase 3 clinical trial, VIKTORIA‑1, evaluating gedatolisib in combination with fulvestrant with or without palbociclib in patients with HR+/HER2- locally advanced or metastatic breast cancer (“ABC”), supported FDA approval of REVTORPYK for use in patients without a PIK3CA mutation detected. Gedatolisib phase 3 clinical development programs are focused on the treatment of patients with HR+/HER2- ABC in the 1L and 2L settings.

A Phase 1b/2 clinical trial evaluating gedatolisib in combination with darolutamide in patients with metastatic castration resistant prostate cancer, is on-going.

Celcuity is committed to fair and equitable compensation practices, and we strive to provide employees with total compensation packages that are competitive. For this role, the anticipated base pay range is $110,000 - $120,000 DOE. The exact base pay offered for this role will depend on various factors, including but not limited to the candidate’s geography, qualifications, skills, and experience.

The successful candidate will be eligible for an annual performance incentive bonus and a new hire equity package. Celcuity also offers various benefits offerings, including, but not limited to, medical, dental, vision insurance, 401(k) match, PTO, and paid holidays.

Celcuity is an Equal-Opportunity Employer.