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Generative Ai Pharmaceutical Jobs in Indiana (NOW HIRING)

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Generative Ai Pharmaceutical information

What is a generative AI pharmaceutical professional?

A Generative AI Pharmaceutical professional is an expert who leverages artificial intelligence, particularly generative models, to accelerate drug discovery, design new molecules, and optimize pharmaceutical research and development processes. They use advanced algorithms and large datasets to predict how potential drugs will behave and identify promising candidates faster than traditional methods. These professionals often work at the intersection of computer science, biology, and chemistry, collaborating with researchers to bring innovative therapies to market more efficiently. Their work can significantly reduce the time and cost associated with developing new medicines.

How does a generative AI pharmaceutical professional typically collaborate with cross-functional teams?

Generative AI professionals in the pharmaceutical industry frequently work alongside researchers, data scientists, clinicians, and regulatory experts to develop innovative solutions for drug discovery and development. Their role often involves translating complex AI models into actionable insights that support scientific and business objectives. Effective communication and teamwork are essential, as they must ensure that AI-generated data aligns with clinical needs and complies with industry regulations. This collaborative environment provides ample opportunities to learn from experts in various fields and contribute to groundbreaking advancements in medicine.

What are the key skills and qualifications needed to thrive as a generative AI pharmaceutical specialist, and why are they important?

To thrive as a Generative AI Pharmaceutical Specialist, you need a strong background in pharmaceutical sciences, data analysis, and machine learning, typically supported by an advanced degree in a related field. Proficiency with AI frameworks (such as TensorFlow or PyTorch), programming languages like Python, and knowledge of drug discovery platforms are essential. Strong problem-solving abilities, interdisciplinary communication, and adaptability are key soft skills for excelling in this evolving field. These competencies are vital for driving innovation, accelerating drug development, and ensuring effective collaboration between AI and pharmaceutical experts.

What is the difference between Generative Ai Pharmaceutical vs Data Scientist in Pharma?

AspectGenerative Ai PharmaceuticalData Scientist in Pharma
Required CredentialsAdvanced degrees in AI, machine learning, or related fields; knowledge of pharmaceutical dataDegree in Data Science, Statistics, or related fields; experience with healthcare data
Work EnvironmentResearch labs, biotech companies, pharmaceutical firms focusing on AI-driven drug discoveryHealthcare and pharmaceutical companies analyzing clinical and operational data
Industry UsageDevelops AI models for drug design, biomarker discovery, and personalized medicineAnalyzes clinical trial data, patient records, and operational datasets

Generative Ai Pharmaceutical specialists focus on creating AI models to innovate drug development, while Data Scientists in Pharma analyze existing healthcare data to inform decisions. Both roles require strong technical skills but differ in their primary focus within the pharmaceutical industry.

How can generative AI be used in pharmaceuticals?

Generative AI in pharmaceutical roles involves designing new drug molecules, predicting their efficacy and safety, and accelerating the discovery process. It leverages machine learning models to analyze biological data, optimize compound structures, and reduce development timelines, often requiring skills in data analysis and familiarity with AI tools like deep learning frameworks.

What is generative AI in the pharmaceutical industry?

Generative AI in the pharmaceutical industry involves using artificial intelligence models to create new molecular structures, predict drug properties, and assist in drug discovery processes. Pharmaceutical professionals working with generative AI often utilize machine learning tools and require knowledge of bioinformatics and data analysis. This technology accelerates research and reduces development costs by generating novel compounds and optimizing drug candidates.

What are popular job titles related to Generative Ai Pharmaceutical jobs in Indiana?

For Generative Ai Pharmaceutical jobs in Indiana, the most frequently searched job titles are:

What job categories do people searching Generative Ai Pharmaceutical jobs in Indiana look for?

The top searched job categories for Generative Ai Pharmaceutical jobs in Indiana are:

What cities in Indiana are hiring for Generative Ai Pharmaceutical jobs?

Cities in Indiana with the most Generative Ai Pharmaceutical job openings:

Senior Computational Chemist

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

89th of 545 rated manufacturers


Job description

Who are we, and what do we do?
At Corteva Agriscience, you will help us grow what's next. No matter your role, you will be part of a team that is building the future of agriculture - leading breakthroughs in the innovation and application of science and technology that will better the lives of people all over the world and fuel the progress of humankind.
The computational chemistry team in Corteva Agriscience plays a critical role in the discovery and optimization of new active ingredients through advanced modeling, simulation, and data analysis. We are seeking a Senior Computational Chemist to help define and lead the future of molecule discovery and design at our Indianapolis Global Business Center. This is a unique opportunity to shape how computational chemistry drives innovation to enable resilient and sustainable agriculture.
What You'll Do:
  • Innovate, build and apply novel computational chemistry capabilities that accelerate the design and optimization of novel agrochemical active ingredients for Crop Health R&D.
  • Develop and implement advanced molecular modeling, simulation, and AI-based workflows for discovery and pipeline projects.
  • Collaborate closely with multidisciplinary teams to shape project strategy and the design-build-test-learn cycle to integrate and improve computational predictions.
  • Mentor and coach scientists, fostering a culture of scientific excellence, innovation and collaboration across teams including chemists, biologists, and data scientists.
  • Communicate project progress and key findings to stakeholders, including project leaders and R&D leadership.
  • Keep pace with technological advances and contribute to intellectual property generation, scientific publications, and presentations at internal and external meetings.

What Skills You Need:
  • Ph.D. in Computational Chemistry, Data Science, Chemical Informatics, Chemistry, or a related scientific field.
  • 10+ years of experience applying computational chemistry in the pharmaceutical or agricultural industry.
  • Demonstrated expertise in multiple computational approaches such as molecular modeling, virtual screening, homology modeling, pharmacophore elucidation, free energy perturbation, homology modeling, and/or structure-based drug design.
  • Solid knowledge base and experience in the incorporation of data science methods (e.g., machine learning and generative AI) in molecule design and optimization.
  • Proven experience working with large datasets, scientific computing and large-scale computing environments (e.g., HPC clusters, cloud computing).
  • Excellent communication (written and verbal), interpersonal, and technical writing skills.

What makes you stand out:
  • Strong background in cheminformatics, statistics, machine learning, and/or other data-driven modeling approaches.
  • Experience combining chemistry-based mechanistic modeling with data-driven modeling in hybrid models for molecule design/optimization.
  • Familiarity with modern software tools and programming languages used in computational chemistry (e.g., Schrödinger Suite, MOE, AMBER, Gaussian, Python).
  • Track record of impactful publications or patents in computational chemistry or molecule design/optimization.
  • Experience mentoring or leading technical teams.

#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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