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Temporary Bioinformatics Data Scientist Jobs in Indiana

... data. • Specialized knowledge of current scientific methods and testing procedures and the ... Incumbent will be the subject matter expert on bioinformatics ascepts of NGS results generated in ...

PhD in a quantitative field (e.g., Data Science, Engineering, Physics, Mathematics, Statistics, Bioinformatics, Computational Chemistry), or a Master's degree with substantial handson ML/CV ...

Senior Research Scientist

Indianapolis, IN · On-site

$94K - $120K/yr

... reviews, bioinformatics, functional genomics, and AI/ML. Implement iterative "design-test-learn ... Leverage AI-augmented data analysis, digital phenotyping, and digital discovery platforms to ...

... bioinformatics, functional genomics, and AI/ML. Implement iterative design-test-learn and active ... Leverage AI-augmented data analysis, digital phenotyping, and digital discovery platforms to ...

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Temporary Bioinformatics Data Scientist information

What is the difference between Temporary Bioinformatics Data Scientist vs Bioinformatics Data Analyst?

AspectTemporary Bioinformatics Data ScientistBioinformatics Data Analyst
CredentialsTypically requires a master's or Ph.D. in bioinformatics, computational biology, or related fieldsUsually holds a bachelor's or master's degree in bioinformatics, biology, or data analysis
Work EnvironmentContract-based roles in research labs, biotech companies, or pharma firmsOften employed in research institutions, healthcare, or biotech companies
Employer & Industry UsageUsed for short-term projects requiring advanced modeling and algorithm developmentFocuses on data processing, visualization, and reporting tasks

The main difference is that Temporary Bioinformatics Data Scientists typically have advanced degrees and focus on developing models and algorithms, while Bioinformatics Data Analysts concentrate on data interpretation and reporting. Both roles are essential in biotech and research settings but differ in scope and expertise level.

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

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

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

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

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

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

What cities in Indiana are hiring for Temporary Bioinformatics Data Scientist jobs?

Cities in Indiana with the most Temporary Bioinformatics Data Scientist job openings:

Senior AI Engineer - Bioinformatics

Marlabs

Indianapolis, IN • On-site

Full-time

Re-posted 10 days ago


Job description

Marlabs, a global AI and Digital Solutions Consulting firm, delivers intelligent solutions across AI, data, analytics, and product engineering. Since 2000, we have partnered with some of the largest healthcare, life sciences, financial services, and government organizations worldwide. As we continue to expand our global footprint, we have an exciting opportunity for a highly skilled Senior AI Engineer - Bioinformatics to join our innovative and dynamic team.
Senior AI Engineer - Bioinformatics | About You
As a Senior AI Engineer - Bioinformatics, you are responsible for building modern, data-driven web applications that enable scientists and researchers to interact with complex datasets intuitively and efficiently. You enjoy working across the entire stack, from designing backend services and APIs to crafting responsive, elegant frontends. You thrive in environments where you collaborate closely with UX designers, scientists, and engineering partners to turn ideas into high-impact tools. You value clean architecture, reusable components, automated testing, and strong engineering best practices. You are energized by creating user experiences that simplify scientific workflows and make large-scale data accessible and actionable.
Senior AI Engineer - Bioinformatics | Day-to-Day
  • Design, develop, and support scalable full-stack applications and AI-powered solutions using Python and modern development technologies.
  • Build and integrate Generative AI capabilities using LLM platforms such as OpenAI, Azure OpenAI, and Anthropic, including prompt engineering and context management.
  • Develop agentic workflows, tool integrations, and function-calling capabilities to automate complex business processes and enhance user experiences.
  • Integrate enterprise applications with platforms such as Microsoft 365, SharePoint, Microsoft Graph, ServiceNow, Jira, and Confluence through secure APIs.
  • Implement secure authentication, authorization, and secrets management practices while ensuring compliance with enterprise security standards.
  • Collaborate with cross-functional teams to deliver, deploy, and continuously improve applications through CI/CD pipelines, containerization, and modern DevOps practices.

Senior AI Engineer - Bioinformatics | Skills & Experience
  • 7+ years of experience in full-stack application development within enterprise or technology-driven environments, with strong proficiency in Python.
  • Hands-on experience building AI and Generative AI solutions, including LLM API integrations, prompt engineering, token management, and conversational AI applications.
  • Strong experience with enterprise integrations, including Microsoft 365, Microsoft Graph, SharePoint, ServiceNow, Jira, Confluence, and REST APIs.
  • Expertise in secure application development, including SSO integrations (SAML, OAuth2, OIDC), API gateways, middleware, and secrets management best practices.
  • Experience with modern DevOps and cloud-native development, including containerization, CI/CD pipelines, deployment automation, and application lifecycle management.