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Genomics Data Scientist Jobs in Indiana (NOW HIRING)

Socket.dev

Senior Research Scientist

Indianapolis, IN · On-site

$120 - $190/hr

... genomics. You will be responsible for accelerating the discovery cycle through high-throughput ... Leverage AI-augmented data analysis, digital phenotyping, and digital discovery platforms to ...

Elanco

Senior Research Scientist

Indianapolis, IN

$94K - $120K/yr

... genomics. You will be responsible for accelerating the discovery cycle through high-throughput ... Leverage AI-augmented data analysis, digital phenotyping, and digital discovery platforms to ...

Varsity Tutors

Genetics Tutor

Valparaiso, IN · Remote

$18 - $40/hr

... genomic data. Emphasizes probabilistic reasoning and connects genetics to genetic counseling, forensic science, evolutionary biology, and personalized medicine applications. * Curriculum Awareness ...

Varsity Tutors

Genetics Tutor

Indianapolis, IN · Remote

$18 - $40/hr

... genomic data. Emphasizes probabilistic reasoning and connects genetics to genetic counseling, forensic science, evolutionary biology, and personalized medicine applications. * Curriculum Awareness ...

Varsity Tutors

Genetics Tutor

Fort Wayne, IN · Remote

$18 - $40/hr

... genomic data. Emphasizes probabilistic reasoning and connects genetics to genetic counseling, forensic science, evolutionary biology, and personalized medicine applications. * Curriculum Awareness ...

Varsity Tutors

Genetics Tutor

Bloomington, IN · Remote

$18 - $40/hr

... genomic data. Emphasizes probabilistic reasoning and connects genetics to genetic counseling, forensic science, evolutionary biology, and personalized medicine applications. * Curriculum Awareness ...

Varsity Tutors

Genetics Tutor

West Lafayette, IN · Remote

$18 - $40/hr

... genomic data. Emphasizes probabilistic reasoning and connects genetics to genetic counseling, forensic science, evolutionary biology, and personalized medicine applications. * Curriculum Awareness ...

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All JobsGenomics Data Scientist JobsGenomics Data Scientist Jobs in Indiana

Genomics Data Scientist information

See Indiana salary details

$35.7K

$116.8K

$187K

How much do genomics data scientist jobs pay per year?

As of Aug 30, 2026, the average yearly pay for genomics data scientist in Indiana is $116,793.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,700.00 and $129,400.00 per year, depending on experience, location, and employer.

What is a genomics data scientist?

A Genomics Data Scientist analyzes large-scale genomic data to extract meaningful biological insights. They use statistical models, machine learning, and bioinformatics tools to study genetic variations, disease associations, and evolutionary patterns. Their work supports medical research, drug discovery, and precision medicine by translating complex genetic data into actionable knowledge. This role often involves coding in languages like Python or R, working with databases, and collaborating with biologists and clinicians.

What are the key skills and qualifications needed to thrive as a genomics data scientist?

To thrive as a Genomics Data Scientist, you need a solid background in biology, bioinformatics, statistics, and programming—typically with an advanced degree in a relevant scientific field. Proficiency with tools such as Python, R, next-generation sequencing (NGS) analysis pipelines, and experience with cloud-based data platforms and genomics databases is highly valued, and certifications in data science or bioinformatics can be advantageous. Critical thinking, strong communication, and interdisciplinary teamwork skills distinguish those who excel in this collaborative and evolving field. These core and soft skills enable accurate analysis of complex genomic data, effective collaboration with scientific and technical teams, and meaningful contributions to biomedical research and healthcare innovation.

What are some common challenges that genomics data scientists face in their daily work?

Genomics Data Scientists commonly face challenges such as handling massive and complex sequencing datasets, integrating information from various sources, and ensuring data quality and reproducibility. They often need to stay current with rapidly evolving bioinformatics tools and computational methods to interpret new types of genomic data. Collaborating across interdisciplinary teams—including biologists, clinicians, and software engineers—can require excellent communication and translation of technical insights into actionable results. Managing these challenges is rewarding, as it contributes directly to discoveries in medical research, diagnostics, and personalized medicine.

What are the most commonly searched types of Genomics Data Scientist jobs in Indiana?

The most popular types of Genomics Data Scientist jobs in Indiana are:

What are popular job titles related to Genomics Data Scientist jobs in Indiana?

For Genomics Data Scientist jobs in Indiana, the most frequently searched job titles are:

What job categories do people searching Genomics Data Scientist jobs in Indiana look for?

The top searched job categories for Genomics Data Scientist jobs in Indiana are:

Genomics Data Scientist jobs near you
Infographic showing various Genomics Data Scientist job openings in Indiana as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $116,793 per year, or $56.2 per hour.

Biologicals Discovery Data Scientist

Corteva Agriscience

Indianapolis, IN • On-site

Full-time

Medical, Retirement, PTO

Posted 3 days ago

New

Job description

Corteva Agriscience is seeking an innovative, collaborative, and enthusiastic Data Scientist with a strong foundation in machine learning, deep learning, and life or physical sciences. The successful candidate will join a strong, globally distributed Data Science team applying advanced analytics and AI to accelerate biologicals discovery - spanning both microbial and natural products discovery - for crop health. This is a high-impact opportunity to shape how modern AI and predictive modeling are applied across these discovery pipelines, partnering closely with data scientists, data engineers, genomics and metabolomics scientists, chemists, and biologists to deliver differentiated solutions to agriculture.
The preferred location for this position is our Corteva Global Headquarters in Indianapolis, Indiana, USA.
What You'll Do:
  • Innovate at the interface of data science, chemistry, and biology to drive discovery of novel microbial and natural products solutions for crop health
  • Develop predictive models that integrate genomic, metabolomic, and phenotypic data to characterize and prioritize promising candidates
  • Build models that connect insights across discovery pipelines, helping identify opportunities that might otherwise be missed within a single pipeline
  • Actively seek, evaluate, and implement modern AI/ML methods - including deep learning and modern architectures - to advance predictive modeling capabilities
  • Partner with collaborators across domains to drive integrated discovery pipelines and candidate prioritization, selection, and advancement toward new microbial and natural products solutions

What Skills You Need:
  • Minimum MS with 5+ years of post-graduation work experience, or Ph.D., in quantitative fields (e.g., Data Science, Statistics, Mathematics, Computer Science) or in life or physical sciences (e.g., Biology, Chemistry)
  • Strong understanding of biology, with the ability to critically evaluate model outputs to generate testable and business-relevant biological and biochemical hypotheses
  • Demonstrated experience with modern machine learning and deep learning methods, including hands-on experience with a modern AI stack (e.g., PyTorch, transformer architectures, generative AI methods), and a solid understanding of the math and model behavior to make sound methodological judgment (e.g., appropriate training design, evaluation metrics, model calibration)
  • Demonstrated ability to independently frame a research problem, define success criteria and evaluation approach, and clearly articulate findings - from early-stage ambiguity through to a well-structured, communicated result
  • Strong foundation in Python or a similar programming language for data wrangling, analysis, and ML applications
  • Excellent verbal and written communication skills with ability to work as part of a cross-functional project team

Preferred Skills:
  • Experience with multi-modal, integrative, or digital twin modeling approaches
  • Experience integrating genomic, metabolomic, and/or phenotypic data for predictive modeling
  • Experience with generative AI approaches applied to life sciences
  • Experience or education in natural products chemistry/biochemistry or microbiology
  • Experience deploying ML models to production, with MLOps practices such as version control, containerization, workflow orchestration, and reproducible, maintainable pipelines
  • Practical knowledge and experience with cloud-computing systems and platforms
  • Experience with agentic AI systems or tool-use/multi-agent architectures

#LI-BB1
Benefits - How We'll Support You:
  • Numerous development opportunities offered to build your skills
  • Be part of a company with a higher purpose and contribute to making the world a better place
  • Health benefits for you and your family on your first day of employment
  • Four weeks of paid time off and two weeks of well-being pay per year, plus paid holidays
  • Excellent parental leave which includes a minimum of 16 weeks for mother and father
  • Future planning with our competitive retirement savings plan and tuition reimbursement program
  • Learn more about our total rewards package here - Corteva Benefits
  • Check out life at Corteva! www.linkedin.com/company/corteva/life

Are you a good match? Apply today! We seek applicants from all backgrounds to ensure we get the best, most creative talent on our team.
Corteva Agriscience is an equal opportunity employer. We are committed to embracing our differences to enrich lives, advance innovation, and boost company performance. Qualified applicants will be considered without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, military or veteran status, pregnancy related conditions (including pregnancy, childbirth, or related medical conditions), disability or any other protected status in accordance with federal, state, or local laws.

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