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$63K

$134.7K

$214.5K

How much do life sciences ai jobs pay per year?

As of Aug 31, 2026, the average yearly pay for life sciences ai in the United States is $134,705.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,000.00 and $159,000.00 per year, depending on experience, location, and employer.

What is Life Sciences AI?

Life Sciences AI refers to the application of artificial intelligence technologies to the field of life sciences, including biology, medicine, pharmaceuticals, and biotechnology. Professionals in this area use AI to analyze complex biological data, accelerate drug discovery, improve diagnostics, and personalize treatments. By leveraging machine learning, natural language processing, and other AI tools, they help advance scientific research and healthcare outcomes. This interdisciplinary field combines expertise in data science, AI, and life sciences to solve real-world problems and drive innovation.

How does a Life Sciences AI professional typically collaborate with cross-functional teams in research settings?

Professionals working in Life Sciences AI often collaborate closely with biologists, data scientists, software engineers, and clinicians to design and implement AI-driven solutions. This involves translating complex scientific questions into data-driven models, interpreting results with domain experts, and iterating on approaches based on feedback. Regular meetings, shared project management tools, and interdisciplinary brainstorming sessions are common, ensuring that AI models are both scientifically valid and practically useful. Effective communication and a willingness to learn from other disciplines are key to success in this collaborative environment.

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

To thrive as a Life Sciences AI Specialist, you need a solid background in biology or life sciences combined with expertise in data science, machine learning, and statistical analysis, often supported by an advanced degree in a related field. Familiarity with tools like Python, R, TensorFlow, bioinformatics platforms, and experience working with large biological datasets is typically required. Strong problem-solving skills, collaboration, and the ability to communicate complex findings to non-technical stakeholders are valuable soft skills. These qualifications enable specialists to develop impactful AI solutions that advance research, diagnostics, and innovation in the life sciences sector.

What is the difference between Life Sciences Ai vs Bioinformatics Specialist?

AspectLife Sciences AiBioinformatics Specialist
Required CredentialsDegree in Life Sciences, Computer Science, or related fields; experience with AI and machine learningDegree in Bioinformatics, Biology, Computer Science; proficiency in programming and data analysis
Work EnvironmentResearch labs, biotech companies, healthcare tech firmsResearch institutions, biotech firms, healthcare organizations
Industry UsageDeveloping AI models for drug discovery, diagnostics, personalized medicineAnalyzing biological data, genome sequencing, data interpretation
Common Search & ComparisonYesYes

Life Sciences Ai professionals focus on applying artificial intelligence and machine learning to biological and medical data, often developing predictive models for healthcare innovations. Bioinformatics Specialists analyze biological data, such as genetic sequences, using computational tools. While both roles require a strong background in biology and data analysis, Life Sciences Ai emphasizes AI development, whereas Bioinformatics focuses on biological data interpretation.

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What states have the most Life Sciences Ai jobs?

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What job categories do people searching Life Sciences Ai jobs look for?

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Life Sciences Ai jobs near you
Infographic showing various Life Sciences Ai job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 16% Part Time, and 4% Contract. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution, with an average salary of $134,705 per year, or $64.8 per hour.

Director - Delivery Leader (Life Sciences | AI-Driven)

San Francisco, CA • On-site

Coforge
Marketing • 10K+ employees

6.8

Company rating: 6.8 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

165th of 226 rated it services

People enjoy working here

Paid breaks

Respectful managers

Learn more about Coforgeexternal

$249K/yr

Other

This job post has expired today. Applications are no longer accepted.

Job description

Job Title: Director – Delivery Leader (Life Sciences | AI-Driven)

Key Skills: Delivery Manager/Delivery Leader

Experience: 15+ Years

Location: San Francisco Bay Area, CA


We at Coforge are hiring a hands-on Delivery Leader to lead strategic Life Sciences engagements for key clients in the Bay Area. This role is ideal for someone who thrives at the intersection of delivery excellence, client partnership, AI-led innovation, and account growth.

Unlike a traditional delivery management position, this leader will be deeply involved in driving program execution, solving complex delivery challenges, engaging with client executives, and identifying opportunities to expand Coforge's footprint. The successful candidate will lead from the front, balancing strategic thinking with operational execution.


Key Responsibilities:

Hands-On Delivery Leadership

  • Own end-to-end delivery for strategic Life Sciences programs and portfolios.
  • Provide active leadership across program execution, governance, financial management, quality, and customer satisfaction.
  • Partner with delivery teams to proactively address risks, remove roadblocks, and ensure successful outcomes.
  • Drive accountability, predictability, and operational excellence across onsite and offshore teams.

Client Engagement & Trusted Advisor

  • Build strong relationships with business and technology leaders.
  • Serve as the primary point of contact for delivery, transformation, and innovation initiatives.
  • Lead executive reviews, steering committee meetings, and strategic discussions.
  • Understand client priorities and align delivery outcomes with business goals.

AI-Driven Transformation

  • Champion AI-first thinking across client engagements.
  • Drive adoption of Generative AI, Agentic AI, Automation, Data & Analytics, and Digital Engineering solutions.
  • Identify opportunities to improve productivity, accelerate delivery, and create measurable business value through AI.

Account Growth

  • Collaborate with account and sales teams to expand existing relationships.
  • Identify new opportunities across AI, Data, Digital, Engineering, Cloud, and Operations.
  • Support solutioning, proposals, and executive presentations.
  • Contribute to revenue growth, account expansion, and long-term client success.


Required Skills & Experience

  • 15+ years of experience in technology services, consulting, or digital transformation.
  • Proven track record leading large-scale delivery engagements within Life Sciences, Pharma, Biotech, or Medical Devices.
  • Strong experience managing executive client relationships and growing strategic accounts.
  • Demonstrated success delivering AI, Data, Cloud, Digital, or Enterprise Transformation programs.
  • Experience leading global onsite-offshore teams and managing multi-million-dollar portfolios.
  • Strong business acumen, executive presence, and problem-solving skills.


Preferred Skills

A leader who is not afraid to roll up their sleeves, engage directly with delivery teams, solve client challenges, drive AI-led innovation, and grow strategic accounts. This individual combines the mindset of a delivery operator, client partner, and business builder while delivering measurable outcomes for Life Sciences clients

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