Skip to content

Open nowPosted today

Scientist, In Vitro Pharmacology & Cell Engineering

lilly234 open roles

Where
US, Boston MA
Get the CV for this job

From $25 per CV, paid once. No subscription.

Your applicationOpen nowScientist, In Vitro Pharmacology & Cell Engineeringlilly · US, Boston MA
  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on lilly's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

8.1% of postings close within 7 days. Measured by our own scanner across the market. lilly postings stay open a median of 4 days.

Share of postings closed within
  1. 1.8%1 day
  2. 3.5%3 days
  3. 8.1%7 days
  4. 15.1%14 days
  5. 33.9%30 days
This job: posted today

lilly median: 4 days open

The posting

At Lilly, the work is demanding because patients are waiting. We unite caring with discovery to help make life better for people around the world, knowing that every decision, every detail, and every day matters. Headquartered in Indianapolis, Indiana, our over 50,000 employees around the globe take on complex challenges to discover and deliver life-changing medicines, strengthen how health is understood and managed, and support the communities we serve. This is hard, urgent, selfless work—but it’s work worth doing. If you’re driven by purpose and ready to bring your best to work that truly matters for patients, we invite you to join us.

We are seeking a skilled in vitro biologist to join the Genomic Sciences team within RNA Therapeutics at Lilly, based at Lilly's Boston Seaport Innovation Center. In this role, the successful candidate will perform hands-on in vitro pharmacology in support of siRNA drug development, including the development of novel cellular assays and the engineering of novel cell models that enable challenging biology to be measured. The work combines established in vitro pharmacology with assay and cell-model development, carried out at a scale that generates high-quality, massively scaled datasets to fuel high-profile collaborative modeling efforts. It is foundational bench science at the interface of cell biology, automation, and data science, where the quality of the work directly enables downstream computational modeling.

The ideal candidate is a skilled cell biologist with a strong background in mammalian cell culture who is energized by high-throughput, data-generating science. They are comfortable working with and on highly automated systems, bring experience in cell engineering and complex cell models, and take pride in producing consistent, reproducible results. They collaborate naturally across teams, engaging genomics and data science partners to design studies that produce clean, well-controlled, model-ready data for high-profile AI/ML modeling efforts.

Key Responsibilities:

  • Perform hands-on mammalian cell culture to support in vitro pharmacology for siRNA drug development
  • Design and develop novel cellular assays to capture biological signals relevant to therapeutic programs
  • Develop, optimize, and maintain complex cell models and engineered cell lines relevant to RNA therapeutics
  • Implement in vitro pharmacology experiments at scale, generating large, high-quality datasets to fuel collaborative modeling efforts
  • Operate and work alongside highly automated cell culture and liquid handling systems to achieve throughput and reproducibility
  • Partner closely with the NGS team to ensure samples and workflows are well suited to downstream sequencing
  • Partner closely with the data science team to ensure the data generated is consistent, well-structured, and fit for modeling
  • Maintain rigorous, reproducible experimental practices and complete, traceable records in accordance with Lilly documentation standards
  • Troubleshoot cell culture and workflow issues, distinguishing biological from technical variability
  • Contribute to a collaborative, high-performing team environment across cell biology, automation, NGS, and data science

Basic Qualifications:

  • Bachelor's degree in cell biology, molecular biology, biochemistry, or a related scientific field with 2+ years of industry work experience
  • Qualified applicants must be authorized to work in the United States on a full-time basis. Lilly will not provide support for or sponsor work authorization or visas for this role, including but not limited to F-1 CPT, F-1 OPT, F-1 STEM OPT, J-1, H-1B, TN, O-1, E-3, H-1B1, or L-1.

Additional Skills/Preferences:

  • Strong hands-on background in mammalian cell culture across multiple cell line types.
  • Strong experience delivering laboratory work using automated workflows and highly automated systems.
  • Hands-on experience with cellular engineering, including approaches such as CRISPR-based editing and stable cell line generation.
  • Experience developing complex cell models relevant to therapeutic research.
  • Experience designing or developing novel cellular assays.
  • Proficiency with FACS / flow cytometry for cell sorting and analysis.
  • Interest in or experience with high-throughput, data-generating science.
  • Familiarity with in vitro pharmacology, ideally in support of RNA therapeutics or another drug modality.
  • Experience preparing samples for or working alongside NGS workflows.
  • A collaborative working style and clear communication with computational, engineering, and scientific partners.

Lilly is dedicated to helping individuals with disabilities to actively engage in the workforce, ensuring equal opportunities when vying for positions. If you require accommodation to submit a resume for a position at Lilly, please complete the accommodation request form (https://careers.lilly.com/us/en/workplace-accommodation) for further assistance. Please note this is for individuals to request an accommodation as part of the application process and any other correspondence will not receive a response.

Lilly is proud to be an EEO Employer and does not discriminate on the basis of age, race, color, religion, gender identity, sex, gender expression, sexual orientation, genetic information, ancestry, national origin, protected veteran status, disability, or any other legally protected status.

Our employee resource groups (ERGs) offer strong support networks for their members and are open to all employees. Our current groups include: Africa, Middle East, Central Asia (AMECA), Black Employees at Lilly (BE@Lilly), Chinese Culture Network (CCN), EnAble, Evolve, Lilly Indian Network (LIN), Organization of Latinx at Lilly (OLA), Pride (LGBTQ+ Allies), Veterans Leadership Network (VLN) and Women’s Initiative for Leading at Lilly (WILL).

Actual compensation will depend on a candidate’s education, experience, skills, and geographic location. The anticipated wage for this position is

$72,000 - $189,200

Full-time equivalent employees also will be eligible for a company bonus (depending, in part, on company and individual performance). In addition, Lilly offers a comprehensive benefit program to eligible employees, including eligibility to participate in a company-sponsored 401(k); pension; vacation benefits; eligibility for medical, dental, vision and prescription drug benefits; flexible benefits (e.g., healthcare and/or dependent day care flexible spending accounts); life insurance and death benefits; certain time off and leave of absence benefits; and well-being benefits (e.g., employee assistance program, fitness benefits, and employee clubs and activities).Lilly reserves the right to amend, modify, or terminate its compensation and benefit programs in its sole discretion and Lilly’s compensation practices and guidelines will apply regarding the details of any promotion or transfer of Lilly employees.

#WeAreLilly

From $25, paid onceGet the CV for this job

What happens when you press

One press. We do the rest.

  1. A CV for this posting

    Written against lilly's own wording, from every piece of relevant proof in your profile.

  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.
  3. We apply on lilly's form

    Our application engine gets through the hardest forms there are. Where a question needs you, AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

    An application in CV Rocket: every answer filled in on the employer's form.
  4. Every reply, sorted

    lilly's answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

    The CV Rocket inbox: each employer reply classified as an interview, an action or a rejection.
  5. Reply with AI

    AI helps you write the email, checks it and sends it. We show you whether the recruiter read it.

  6. The interview in your calendar

    Full integration with your calendar. The invitation goes straight in.

    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
Get the CV for this job

From $25 per CV, paid once. No subscription.

Why it works

3×

more interviews than doing it yourself with ChatGPT.

ChatGPT writes a CV and never learns what happened to it. We see every reply. For each CV we know:

  • How it was written, and how the review scored it
  • When we applied, and how long after the posting went up
  • Which posting, which company, which city
  • Who got the interview, and who heard nothing

That is how we know which CVs get called.

Get the CV for this job

From $25 per CV, paid once. No subscription.

The numbers game

More applications. More interviews.

Every application goes out with its own CV, written for that posting and paid once. Send enough of them and the law of large numbers finds you the job.

By hand5–10
With CV Rocket100
applications a day

Nearby

Live postings like this one

Same employer first, then the same role elsewhere.

Before you press

Straight answers

Get the CV for this job

From $25 per CV, paid once. No subscription.

What if my background isn't good enough?

We make the most of the background you have. The CV uses every piece of relevant proof your profile holds, and one of the 25 readers reads your whole profile and flags what the CV left out.

Do you really apply for me?

Yes, on the employer's own form, the hardest ones included. Where a question needs you, you answer it right there and AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

Is it a subscription?

No. You pay once per CV, from $25. Every application goes out with its own CV, written for that posting.

One job. One CV.
Paid once.

Pick the posting you want. We write for it, apply for you and catch the reply.

Get the CV for this job

From $25 per CV, paid once. No subscription.