Senior Expert I, Data Science

Scorpion Therapeutics; South Dakota; On-site; USD 126,000 - 234,000; Full time

Benefits offered by this job

Health benefits

401(k) with match

Paid time off

Job summary

Scorpion Therapeutics is seeking a lead computational biologist to design, analyze, and interpret high-dimensional omics data to guide oncology projects. You will collaborate with wet-lab and data scientists to drive patient stratification and mechanism discovery.

The role requires a PhD with strong cancer biology knowledge, proficiency in Python or R, and experience with AI-assisted coding tools to accelerate analyses and reproducible workflows.

Qualifications

• PhD in Computational Biology, Systems Biology, Bioinformatics, or related field with industry experience.
• Strong cancer biology knowledge and experience with multi-modal omics data.
• Proficient in Python or R, UNIX/Linux, version control, and reproducible workflows.

Responsibilities

• Design, analyze, and interpret high-dimensional biological data across omics to inform projects.
• Lead profiling and analysis of high-throughput genomic and phenotypic data for stratification.
• Integrate multi-modal datasets to generate translational insights and hypotheses.
• Develop and implement innovative analytical methods for emerging technologies.
• Drive oncology research to identify novel targets and support stratification.
• Communicate analyses and findings to diverse teams.

Skills

Python

R

UNIX/Linux

Version control

Reproducible workflows

Statistics

Education

PhD in Computational Biology or related field

Tools

AI-assisted coding tools

Job description

Major accountabilities

• Collaborate with wet-lab and computational scientists to design, analyze, and interpret high-dimensional biological data (e.g., bulk RNA-seq, DNA-seq, CRISPR, drug screening) to inform project decisions.
• Lead profiling strategies and analysis of high-throughput genomic and phenotypic screening data to support patient stratification and mechanism-of-resistance.
• Integrate multi-modal internal and external preclinical datasets (e.g., genomics, transcriptomics, pharmacology, functional screens) using advanced bioinformatics and machine learning to generate translational insights, therapeutic hypotheses, and actionable findings.
• Develop and implement innovative analytical methods to support emerging technologies, and integrate/interrogate/visualize multi-dimensional datasets.
• Drive oncology research to identify novel targets for induced proximity modality, elucidate mechanism of action, and support patient stratification strategies.
• Communicate integrative analyses and key findings to diverse scientific teams and stakeholders.

Qualifications

• PhD in Computational Biology, System Biology, Bioinformatics, Data/Computer Science, or related field with relevant industry experience.
• Strong cancer biology knowledge; proficiency with multi-modal data (genomics, transcriptomics, proteomics, phenotypic screening). Programming in Python and/or R; UNIX/Linux, version control, and reproducible workflows; statistical rigor for high-dimensional omics (bulk/single-cell transcriptomics).
• Experience using AI-assisted coding tools (copilots, code generators, LLM-based workflows) to accelerate analysis/model development and reproducible pipelines.
• Familiarity with preclinical biomarker discovery/validation (survival analysis a plus).
• Ability to work independently, prioritize, define next steps, and manage multiple projects/stakeholders in a fast-paced environment.
• Excellent communication skills; curiosity, creativity, solution-oriented mindset; English fluency (written/verbal).

Compensation & benefits (as stated)

• Salary expected range: $126,000–$234,000/year; performance-based cash incentive; eligibility for annual equity awards (depending on level).
• Comprehensive benefits package (health/life/disability), 401(k) with match, and time off (vacation, personal days, holidays, other leaves).