AI tools, scored for your job
Get paid to train AI
Hiring now · posted today Science Full-time · Remote

CMC & Manufacturing Lead, Life Sciences

at Anthropic

Pay not published

The rate is shared during the application.

Remote · United States Language: English Posted 13 Nov 2026

CMC & Manufacturing Lead, Life Sciences is a remote role at Anthropic, open to applicants in United States. Posted 13 Nov 2026, still open on 14 Nov 2026. Zekai lists it for free; the application goes to the employer's platform.

About this role

Preparing for this role? See the best AI tools for manufacturers, practise with ready-made prompts for manufacturers, read Best Free AI Tools for Manufacturing Engineers (2026) and take the free 30-day AI challenge.

About Anthropic

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

About the role

Anthropic’s Life Sciences team is working to make Claude a useful partner across biology and drug development, so that promising science can reach patients sooner. Genetic medicines are one area where we see real potential, particularly for diseases with few or no treatment options.

Chemistry, manufacturing, and controls (CMC) often sets the pace in this field. We’re hiring a CMC & Manufacturing Lead to bring deep technical expertise to our team. You’ll guide CMC strategy across a range of genetic medicine technologies, work closely with external partners, and help our researchers and engineers make Claude useful for real CMC work.

Much of today’s CMC practice was built for products made at scale for large populations. You’ll help work out what better approaches could look like for smaller ones, including platform processes, faster testing, and ways to carry knowledge from one product to the next.

If you have deep experience manufacturing genetic medicines and want to explore how AI can help accelerate the way they’re developed, we’d love to hear from you.

Key responsibilities

  • Guide CMC and manufacturing strategy for genetic medicines, from early development through clinical supply
  • Serve as a CMC expert to external partners, reviewing process, analytical, and supply plans and resolving technical issues together
  • Provide technical oversight of externally conducted process development, formulation, analytical development, fill-finish, stability, and release testing, with phase-appropriate specifications and control strategies
  • Collaborate with scientists across disciplines to turn early research into robust, GMP-ready processes
  • Oversee quality for externally manufactured material, including audits, quality agreements, and batch disposition
  • Evaluate novel manufacturing, analytical, and delivery technologies, and make clear recommendations
  • Develop approaches that reduce the time and cost of reaching clinical material without compromising product quality or patient safety
  • Work with Anthropic researchers and engineers to identify where Claude can speed up CMC work, contribute to evaluations and tools, and test results against real-world problems
  • Identify CMC and supply chain risks early, and communicate status, tradeoffs, and decisions clearly

Minimum qualifications

  • Biotechnology or pharmaceutical industry experience leading CMC for gene therapy, gene editing, or nucleic acid products, including taking a product from preclinical development into the clinic
  • Deep expertise in several of the following, and working knowledge of the others: lipid nanoparticles (LNP), mRNA, guide RNA (gRNA), adeno-associated virus (AAV), and antisense oligonucleotides (ASO), including how they are manufactured, characterized, and released
  • Deep understanding of GMP manufacturing and regulatory CMC requirements for genetic medicines, including writing or reviewing CMC sections of INDs or equivalent filings
  • A strong track record of selecting and managing CDMOs, CROs, and other external partners, including technology transfer and quality oversight
  • Demonstrated creativity in manufacturing novel products, shown by process, analytical, or supply solutions you developed where no established precedent existed
  • Ability to evaluate novel technologies rigorously from data and turn that evaluation into a clear recommendation
  • Clear written and verbal communication, including explaining CMC tradeoffs to people outside the field
  • Curiosity about how AI can change drug development, and excitement about Anthropic’s mission to build safe and beneficial AI

Preferred qualifications

  • 10+ years in the biotechnology or pharmaceutical industry, with a focus on CMC and gene therapy product development
  • An advanced degree in chemical engineering, biochemistry, pharmaceutical sciences, molecular biology, or a related field
  • Experience with rare disease or small-population programs, or with platform-based manufacturing and regulatory approaches
  • Direct experience leading CMC discussions with the FDA and other health authorities, such as the EMA and MHRA
  • Hands-on experience with GMP quality activities, such as vendor audits, quality agreements, deviation review, and batch disposition
  • Experience building a CMC function or working in a fully outsourced model
  • Experience with small-batch or rapid-turnaround GMP manufacturing and accelerated release testing
  • Experience with technical due diligence on external technologies or manufacturing partners
  • Hands-on experience using LLM tools like Claude in your day-to-day work

The annual compensation range for this role is listed below. 

For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.

Annual Salary:$300,000—$320,000 USD

Logistics

Minimum education:Bachelor’s degree or an equivalent combination of education, training, and/or experience

Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience

Minimum years of experience:Years of experience required will correlate with the internal job level requirements for the position

Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

For roles performing work in California:We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.

Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.

How we're different

We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.

The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.

Come work with us!

Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

This is a remote role. Applicants must be located in: United States.

How applying works

  1. Click Apply now and enter your email.
  2. You go straight to the application. We email you a copy of this role and your link.
  3. You apply on Anthropic's own careers page. Zekai is not the employer and never charges you.
How to get this job

Your plan for “CMC & Manufacturing Lead, Life Sciences”

Are you ready? Check what you have

Taken from this listing's own requirements.

0 / 6

What to know before you apply

Location
Only applicants located in United States can be paid for this role. Platforms usually verify where you are, so apply only if you are based there.
Credentials
The listing asks for 10+ years of experience. Put it in the first line of your profile: reviewers screen for it before anything else.
Timing
This listing is new today. Projects can close once they have enough people, so it is worth applying while it is open.
How to stand out for manufacturers
  • Mirror the job's own wording in your CV: reviewers and screening tools look for the skills listed above.
  • Show real work: a portfolio, GitHub, case study or numbers from past projects beats a long list of duties.
  • Show how you already use AI tools in your work. AI companies hire people who use their products well.
  • Apply early and follow up once, politely, if you hear nothing in two weeks.
Prepare free with Zekai

3 steps to stand out as one of the best manufacturers

  1. 01

    Know the AI tools manufacturers use

    AI companies expect you to know the tools of your trade. Try the ones your profession already uses before the interview.

    All 355 AI tools for manufacturers →
  2. 02

    Practise with real prompts

    Many tests ask you to write or judge prompts in your field. Practise on these first.

    Prompt: Generate a Python Script Outline for Cleaning Sensor Data

    # Objective: Create a Python script using the pandas library to clean time-series sensor data from a factory process. # Data: Assume a CSV file named 'sensor_data.csv' with columns: 'timestamp', 'sensor_id', 'temperature', 'pres…

    Generate an SOP for a new task

    You are a senior manufacturing engineer specializing in creating clear, safe, and efficient Standard Operating Procedures (SOPs) compliant with ISO 9001. Generate an SOP for the task: "Final Assembly of Product P-4500." The pro…

    Prompt library for manufacturers →
  3. 03

    Take the free 30-day AI challenge

    Five minutes a day to get confident with AI in your own work. Day 1 is open now, no card needed.

    Start Day 1 free →

    Guides for manufacturers

Manufacturers

More paid AI roles for manufacturers

Confidential clientAI training · Manufacturers

Senior Industrial Trades and Maintenance Expert

10 open
  • Remote · Worldwide
  • Contract · flexible hours

Our partner is engaging Senior Industrial Trades and Maintenance Experts to contribute insights and technical experti…

$20–$60/hr
16d ago
Confidential clientAI training · Manufacturers

Scientific Glassblower (Custom Laboratory Glass Shop)

  • Remote · Worldwide
  • Contract · flexible hours

Our partner is engaging Scientific Glassblower (Custom Laboratory Glass Shop) contributors to support a customer's ad…

$20–$60/hr
6d ago
1X TechnologiesPhysical AI & robotics · Manufacturers

Operator - Data Collection (Swing Shift)

  • San Carlos, CA
  • Full-time

As a Operator on the Data Collection team, your charter is to execute high-quality robot operations while raising the…

$28–$36/hr
65d ago
Figure AIPhysical AI & robotics · Manufacturers

Humanoid Robot Operator, Commercial Site Team (LA)

  • Los Angeles, CA
  • Full-time

As a Humanoid Robot Operator, you'll have the unique opportunity to work directly with our humanoid robots to test an…

$26–$30/hr
117d ago
new in the last 24 hours

New roles in your inbox every morning

Pick your field. One short email a day, only when new roles open. Unsubscribe any time.

Roles come from public listings and change daily. Pay is what the listing shows; offers depend on your test, experience and country. If you join through a Zekai link, the platform may pay Zekai a fee. Your pay stays the same.

CMC & Manufacturing Lead, Life Sciences
Get paid to train AI →

See Zekai first in Google