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Crispr Screen Jobs in Indiana (NOW HIRING)

Socket.dev

Senior Research Scientist

Indianapolis, IN · On-site

$150 - $200/hr

Such as organoids/iPSCs and CRISPR/Cas9 screening, with high proficiency in using AI/ML and deep learning for target validation and phenotypic profiling. What will give you a competitive edge ...

Elanco

Senior Research Scientist

Indianapolis, IN · On-site

$94K - $120K/yr

Such as organoids/iPSCs and CRISPR/Cas9 screening, with high proficiency in using AI/ML and deep learning for target validation and phenotypic profiling. What will give you a competitive edge ...

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Crispr Screen information

What is a CRISPR screen?

CRISPR screens are high-throughput experiments that use the CRISPR-Cas9 gene-editing technology to systematically knock out, activate, or repress genes across the genome in order to identify their functions in a particular biological process or phenotype. These screens can be performed in cell cultures or organisms to discover genes involved in disease, drug resistance, or other cellular responses. Researchers use libraries of guide RNAs to target many genes simultaneously, enabling large-scale functional genomics studies. CRISPR screens have revolutionized the way scientists investigate gene function and develop new therapeutic targets.

What are some common challenges faced when conducting a CRISPR screen in a research or lab setting?

One common challenge in a CRISPR screen role is ensuring the accuracy and efficiency of gene editing, as off-target effects and incomplete knockout can impact experimental results. Managing large datasets and troubleshooting technical issues with lentiviral delivery or sgRNA library design are also frequent hurdles. Additionally, collaborating effectively with bioinformaticians and other scientists is essential, as interpreting screening data often requires a multidisciplinary approach. Staying current with rapidly evolving CRISPR technologies and best practices is key to success in this role.

What are the key skills and qualifications needed to thrive as a CRISPR Screen Scientist, and why are they important?

To thrive as a CRISPR Screen Scientist, you need a strong background in molecular biology, genetics, and cell culture, typically supported by an advanced degree in a life science field. Familiarity with CRISPR-Cas9 technology, next-generation sequencing (NGS), and bioinformatics analysis tools is essential for designing and interpreting genetic screens. Excellent problem-solving skills, attention to detail, and effective collaboration are crucial soft skills in this research-intensive role. These competencies ensure accurate experimental design, reliable data generation, and successful teamwork in advancing gene-editing research.

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Crispr Screen jobs near you
Infographic showing various Crispr Screen job openings in Indiana as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 15% Part Time, 2% Contract, and 1% Nights. Highlights an 96% Physical, 2% Hybrid, and 2% Remote job distribution.

Computational Biologist - Quantitative Methods & Target Discovery

Indianapolis, IN • On-site

Scorpion Therapeutics
51 - 200 employees
Learn more about Scorpion Therapeuticsexternal

$150 - $200/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 8 days ago

Job description

The Opportunity (Individual Contributor; Boston or Indianapolis)Responsibilities:
  • Independently design and implement end-to-end analyses of spatial and single-cell transcriptomic, proteomic, and metabolomic datasets, plus functional genomics workstreams.
  • Integrate results across modalities and with genetic evidence to build convergent frameworks for target prioritization.
  • Develop predictive models to score targets, distinguish association from mechanism, and provide confidence measures to inform portfolio decisions.
  • Advance quantitative toolkit: introduce ML/AI, knowledge graphs, Bayesian methods, and causal modeling where applicable.
  • Build scalable pipelines to preprocess, QC, harmonize, and integrate large-scale spatial and molecular omics datasets.
  • Perform hands-on functional genomics analyses (CRISPR screens, perturb-seq, high-content perturbation readouts) and integrate with transcriptomic/proteomic/pathway data for prioritization.
  • Collaborate cross-functionally to frame questions, translate computational outputs into discovery decisions, and co-develop models for drug discovery.
  • Champion standards for analytical rigor, reproducibility, and documentation; advise peers through reviews and shared problem-solving.
What You BringMinimum requirements:
  • Ph.D. in computational biology, biostatistics, biological engineering, systems biology, applied mathematics, or quantitative life science; training/research combining analytical method development (Bayesian approaches, AI/ML, etc.) with applied multi-omics, spatial omics, or functional genomics.
Preferred:
  • 2+ years post-doc or biopharma/biotech experience.
  • Experience with spatial omics, single-cell RNA-seq, proteomics, metabolomics, or multi-omics integration.
  • Proficiency in Python and/or R; solid software practices and scientific computing libraries.
  • Familiarity with workflow orchestration (e.g., Nextflow) and cloud-native environments.
  • Experience with at least two: Bayesian methods, causal modeling, knowledge graphs, ML/AI for target discovery, causal inference, or large-scale functional genomics.
Benefits (as stated):
  • Company bonus (company and individual performance dependent).
  • Comprehensive benefits: 401(k), pension, vacation, medical/dental/vision/prescription, flexible benefits, life insurance/death benefits, time off/leave, and well-being benefits.
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