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Biotech Ai Jobs (NOW HIRING)

Infrastructure Engineer

$110K - $144K/yr

Forbes AI Top 50, World Economic Forum Tech Pioneer, Time Best Inventions, BioTech AI Company of the Year. Read more about our recent publication in Nature Medicine that associates our products with ...

Area Vice President, Biotech

California, MO · On-site +1

$200K - $250K/yr

Recent advancements in underlying technology have finally made it possible for AI to impact ... Pharma and Biotech organizations. Position Overview: Reporting directly to the Senior Vice ...

Area Vice President, Biotech

Boston, MA · On-site +1

$200K - $250K/yr

Recent advancements in underlying technology have finally made it possible for AI to impact ... Pharma and Biotech organizations. Position Overview: Reporting directly to the Senior Vice ...

Biotech Program Manager Location: South San Francisco Type: Full-time Ohalo is hiring a Biotech ... Promote practical AI adoption within the program team (e.g., structured decision logs, automated ...

Biotech Program Manager Location: South San Francisco Type: Full-time Ohalo is hiring a Biotech ... Promote practical AI adoption within the program team (e.g., structured decision logs, automated ...

Biotech Program Manager Location: South San Francisco Type: Full-time Ohalo is hiring a Biotech ... Promote practical AI adoption within the program team (e.g., structured decision logs, automated ...

Agentic AI Engineer

San Francisco, CA · On-site

$176K - $265K/yr

We are rebuilding biotech for the AI era. When a breakthrough is delayed, the world waits. Getting a molecule from discovery to patients, or a crop from lab to field, involves thousands of slow ...

Agentic AI Engineer

$176K - $265K/yr

We are rebuilding biotech for the AI era. When a breakthrough is delayed, the world waits. Getting a molecule from discovery to patients, or a crop from lab to field, involves thousands of slow ...

AI Architect

Alameda, CA · On-site

$115 - $135/hr

AI Platform Architect Industry ... Biotechnology / Life Sciences Location: Alameda, CA Assignment Type: 6-month contract with ...

AI Architect

Alameda, CA · On-site

$115 - $135/hr

AI Platform Architect Industry ... Biotechnology / Life Sciences Location: Alameda, CA Assignment Type: 6-month contract with ...

AI/ML Scientist

Boston, MA · On-site

$140K - $225K/yr

Manifold Bio is a platform biotechnology company pioneering AI-guided protein design and massively multiplexed in vivo screening to unlock tissue-targeted medicines and organism-scale models of ...

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Showing results 1-20

Biotech Ai information

Which AI job is high paying?

In the biotech AI field, roles such as AI Research Scientist, Machine Learning Engineer, and Data Science Director tend to be the highest paying. These positions require advanced skills in AI algorithms, programming, and domain knowledge, often with advanced degrees and experience in biotech or healthcare environments.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as AI research director, senior machine learning engineer, or AI executive, often requiring advanced skills, extensive experience, and sometimes leadership responsibilities. These roles may involve overseeing AI development, strategy, or innovation in biotech or tech companies and can include compensation packages with base salary, bonuses, and stock options. Such salaries are usually found in large corporations or specialized startups with significant AI investments.

What is the difference between Biotech Ai vs Bioinformatics Specialist?

AspectBiotech AiBioinformatics Specialist
Required CredentialsDegree in Biotechnology, Computer Science, or related fields; knowledge of AI and machine learningDegree in Bioinformatics, Biology, Computer Science; proficiency in data analysis and programming
Work EnvironmentResearch labs, biotech companies, AI-focused startupsResearch institutions, biotech firms, healthcare organizations
Employer & Industry UsageBiotech companies integrating AI for drug discovery, diagnosticsHealthcare, research, and biotech sectors analyzing biological data

Biotech Ai professionals focus on applying artificial intelligence to biotech challenges, often combining biotech knowledge with AI skills. Bioinformatics Specialists analyze biological data using computational tools. While both roles require similar educational backgrounds and work in biotech environments, Biotech Ai emphasizes AI integration, whereas Bioinformatics Specialists focus on data analysis and interpretation.

Can AI take over biotechnology jobs?

Biotech AI professionals develop and apply artificial intelligence tools to analyze biological data, automate research processes, and improve drug discovery. While AI can automate certain tasks, it complements human expertise and is unlikely to fully replace biotech jobs, which require domain knowledge, critical thinking, and experimental skills.

What is the highest-paying job in biotech?

In biotech, senior roles such as Biotech Executive, Director of Research, or Chief Scientific Officer tend to be the highest-paying positions, often earning six-figure salaries. These roles typically require advanced degrees, extensive experience, and leadership skills in research, development, or management.
More about Biotech Ai jobs
What cities are hiring for Biotech Ai jobs? Cities with the most Biotech Ai job openings:
What are the most commonly searched types of Biotech Ai jobs? The most popular types of Biotech Ai jobs are:
What states have the most Biotech Ai jobs? States with the most job openings for Biotech Ai jobs include:
Infographic showing various Biotech Ai job openings in the United States as of July 2026, with employment types broken down into 75% Full Time, 22% Part Time, and 3% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution.
Client Success Account Executive, Clinical

Client Success Account Executive, Clinical

Bayesian Health

Remote

Full-time

Re-posted 4 days ago


Job description

Client Success Account Executive, Clinical
In Brief
  • We're a rapidly growing startup on a mission to make healthcare proactive by empowering physicians, nurses, and care team members with real-time data to save lives.
  • Lead clinical health system accounts through strategic implementation and lifecycle management, utilizing data to drive adoption, optimize outcomes, and unlock expansion opportunities across clinical modules.

Who We Are
Bayesian Health's mission is to improve patient outcomes by empowering clinicians with the insights they need to make the right decision for the right patient at the point-of-care. We're a diverse team of clinicians, engineers, machine learning experts, product designers, and performance improvement leaders committed to enabling smarter, patient-specific care delivery through unlocking the power of data.
We're funded by top tier tech and biotech investors: Andreessen Horowitz, American Medical Association's venture arm, Catalio Partners, and LifeForce Capital. Our company has won many awards; most recent recognitions include: Forbes AI Top 50, World Economic Forum Tech Pioneer, Time Best Inventions, BioTech AI Company of the Year.
Read more about our recent publication in Nature Medicine that associates our products with lives saved.
What You'll Do
As a Client Success Account Executive, Clinical, you become the strategic face of Bayesian for health system clients, guiding them from implementation through their entire lifecycle. You'll cultivate executive relationships, design stakeholder engagement strategies, and lead cross-functional teams to drive product adoption and clinical outcomes. Your clinical expertise allows you to communicate the value of clinical decision tools while utilizing data to demonstrate impact, optimize workflows, and identify expansion opportunities. You'll gain buy-in from nursing and physician stakeholders, support clinical research evaluation, and contribute to our product roadmap through voice of customer insights. This role requires executive presence, clinical credibility, and a passion for improving healthcare delivery.
Responsibilities
  • Strategic Account Leadership: Serve as primary point of contact throughout implementation and beyond, cultivating relationships with key clinical and executive stakeholders while designing strategic engagement frameworks.
  • Process Development: Develop repeatable success processes, contribute to product roadmap via voice of the customer, and scale team capabilities as the business grows.
  • Data-Driven Optimization: Utilize clinical and operational data to drive decision-making, demonstrate value, reduce time to treatment, and improve patient outcomes across your client portfolio.
  • Adoption & Expansion: Lead cross-functional teams to drive platform adoption among nursing and physician users, building narratives around clinical value that unlock natural expansion into new modules.

Minimum Qualifications
  • 5+ years experience in Client Success, Account Management, or Consulting managing high-priority customers with proven track record of driving renewals and expansion.
  • Clinical background as a nurse, therapist, or advanced practitioner with ability to communicate value of clinical decision tools in driving outcomes.
  • Executive presence with ability to lead and influence executive and frontline teams across varying backgrounds.
  • Results-oriented approach with a track record of exceeding expectations and continuous improvement mindset.

Preferred Qualifications
  • 3+ years proven ability to drive measurable value and unlock expansion opportunities with health system clients.
  • Experience working with health system executives and utilizing tech platforms to drive clinical and operational value.
  • Demonstrated problem-solving through clinical research or improvement projects.
  • Ability to understand, interpret, and communicate clinical research findings to diverse audiences.

Bayesian Health provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.