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Microbial Genomics information

What is a microbial genomics?

A Microbial Genomics job involves studying the genetic material of microorganisms, such as bacteria, viruses, and fungi, to understand their functions, evolution, and interactions. Professionals in this field analyze genomic data using bioinformatics tools to identify genes linked to traits like antibiotic resistance or pathogenicity. They may work in healthcare, agriculture, biotechnology, or environmental science to develop new treatments, improve microbial applications, or track disease outbreaks.

What does a microbial genomics do?

In a Microbial Genomics role, your daily tasks typically involve processing and analyzing genomic data from microbial samples, performing bioinformatic analyses, and interpreting results to support research objectives. You may design experiments, troubleshoot laboratory protocols, and collaborate closely with microbiologists, data scientists, and other researchers. Regular activities also include documenting findings, preparing reports or manuscripts, and presenting results to team members or external stakeholders. The work environment is often fast-paced and collaborative, providing opportunities to contribute to innovative projects that span clinical, environmental, or industrial microbiology applications.

What are the key skills and qualifications needed to thrive in microbial genomics?

To thrive in Microbial Genomics, a solid background in molecular biology, genetics, and bioinformatics is essential, usually supported by an advanced degree in a relevant life science field. Familiarity with next-generation sequencing (NGS) technologies, genome annotation tools, and data analysis platforms like Python, R, or QIIME is typically required. Strong analytical thinking, collaboration skills, and clear scientific communication help candidates excel in multidisciplinary research environments. Mastery of these skills is crucial for generating accurate genomic insights and contributing to impactful discoveries in healthcare, environmental, or industrial settings.

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

The most popular types of Microbial Genomics jobs in Indiana are:

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

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

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

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

Microbial Genomics jobs near you
Infographic showing various Microbial Genomics job openings in Indiana as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

Biologicals Discovery Data Scientist

Corteva, Inc.

Indianapolis, IN • On-site

Full-time

Medical, Retirement, PTO

Posted 10 days ago

Corteva Agriscience rating

8.2

Company rating: 8.2 out of 10

Based on 76 frontline employees who took The Breakroom Quiz

86th of 545 rated manufacturers

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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