[Remote] RCI-ABBV-33784 Bioinformatics Analyst (RNA-seq/CRISPR/NGS/HPC/Cloud Computing/Predictive Modeling/Transcriptomics/Genomics/Omics)

Remote, USA • Full-time • Posted 2026-05-31
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Note: The job is a remote job and is open to candidates in USA. Rangam is seeking a Bioinformatics Analyst to support cross-project data science efforts in the Quantitative Insights Lab. The successful candidate will work on integrating large-scale omics data and contribute to the development of predictive frameworks for drug target ranking and combination strategies.

    Responsibilities
  • Support perturbation analyses to rank promising drug targets and drug combinations for efficacy prediction
  • Contribute to the development of combination signature estimation approaches and ranking frameworks
  • Ingest, clean, and preprocess multi-modal datasets to enable downstream analysis and modeling
  • Apply AI/ML methods where appropriate, including the use of large language models to accelerate analysis, coding, and workflow development
  • Demonstrate understanding of model development principles, including training, testing, and cross-validation, and help select appropriate models for specific problem types
  • Collaborate with scientific and technical teams to translate biological questions into computational solutions, execute and troubleshoot analyses, and communicate findings clearly and reproducibly
    Skills
  • MS degree with 5+ years of experience or PhD with 0+ years of experience in a quantitative field such as Bioinformatics, Computer Science, Computational Genetics, Biostatistics, AI/ML, or a related discipline with strong computational training
  • Proficiency in R or Python and standard statistics/ML libraries
  • Experience working in HPC or cloud environments for parallel computing
  • Domain knowledge in bioinformatics, computational biology, or related omics-driven data science
  • Strong attention to detail, documentation, and communication skills
  • Ability to independently execute ideas and research solutions within project scope
  • Experience processing and analyzing RNA-seq, imaging data, CRISPR screens, or other similar NGS/genomic data
  • Proficient in statistical and programming languages such as R and Python, with ability to perform parallel computing using HPC
  • Experience writing custom functions in R or Python to statistically interrogate and visualize omics data
  • Demonstrated ability to execute custom computational analysis plans leveraging novel algorithms, relevant databases, and AI/ML approaches where appropriate
  • Familiarity with machine learning fundamentals, including model selection, training, testing, and cross-validation
  • Experience using LLM-based tools or coding assistants to support analysis, coding, and workflow development
    Company Overview
  • Rangam is a global, innovative, Total Talent management firm with the mission of accelerating meaningful employment for everyone!​ We are a minority-, woman-, and disability-owned firm with over 25 years of experience promoting sustainable and inclusive talent programs within our communities and employers. It was founded in 1995, and is headquartered in Somerset, New Jersey, USA, with a workforce of 501-1000 employees. Its website is https://rangam.com/.
    Company H1B Sponsorship
  • Rangam has a track record of offering H1B sponsorships, with 2 in 2026, 10 in 2025, 2 in 2024, 4 in 2023, 5 in 2022, 4 in 2021, 9 in 2020. Please note that this does not guarantee sponsorship for this specific role.

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