Level

Owkin

Forward Deployed Computational Biologist

Owkin is hiring a Forward Deployed Computational Biologist for a remote role open to applicants in United States. Level rates it ; you can apply on Level.

Level's read on this job

  • On Level's scale, this forward deployed engineer role is Builds AI ●●●●: the job is building AI systems.
  • The posting lists this role as remote.
  • Tools and skills the posting cites include scikit-learn and XGBoost.
  • Level lists 5 other open roles at Owkin.

AI in this role

scikit-learnxgboost
About us

Owkin is an agentic AI company pioneering Biological Artificial Superintelligence to solve problems in biology where human researchers alone have failed.
Owkin builds K Pro - an AI scientist for pharmaceutical research and strategic decision-making. K Pro orchestrates a suite of AI skills and tools to decode complex biology, accelerate research, and dramatically increase productivity.
K Pro is built on Owkin’s unrivalled multimodal patient data network, state-of-the-art AI for biology and a decade of experience working with pharmaceutical partners.

Please submit your CV in English

About the role:

 We are seeking a Forward Deployed Computational Biologist to operate at the intersection of AI, software systems, and biology. In this role, you will work directly with leading pharmaceutical and biotechnology companies to design, build, and deploy production-grade AI solutions for complex scientific problems as part of Owkin’s agentic platform, K Pro, to fully meet specific customer needs.

This is a hands-on, client-facing role. You will spend time at the customer’s premises, turning ambiguous scientific challenges—such as discovering novel drug targets or disease subtypes—into reliable and scalable agentic solutions. You will be responsible for both the scientific rigor of the analytical workflows and the technical robustness of their implementation and deployment, bridging the gap between science and real-world application.

 

In particular, you will:
  • Deploy & Custom-build: Tailor Owkin’s agentic AI platform, K Pro, to specific client needs by implementing new analytical workflows, and integrate our platform into the clients’ existing workflows.

  • Solve Scientific Problems: Translate complex biological and operational questions into concrete computational workflows, utilizing deep clinical and multi-omics data (genomics, transcriptomics, etc.) and computational biology methodologies.

  • Rapid Prototyping: Iterate quickly with users to validate solutions, balancing speed and quality to ensure effective, measurable impact.

  • Collaboration: Work alongside Customer Success Managers, R&D data scientists, biologists, and software engineers to ensure the delivery of high-quality scientific insights.

  • Knowledge Transfer: Communicate effectively with diverse stakeholders—from clinicians and biologists to technical engineering teams—to ensure alignment and adoption.

  • Participation in a team-wide on-call rotation is required.

  • This role requires frequent international travel to support our global operations and client needs. Anticipated destinations include the Owkin Paris office as well as various client premises across the UK, US, France, Germany, and Switzerland. To facilitate this travel schedule, the successful candidate must be based in close proximity to a major international airport or major train station. 

 

 

About you

Required qualifications / experience:

  • Education: MSc/PhD in Computational Biology, Bioinformatics, Biology, Computer Science, or a related field.

  • Proven expertise and impact in analyzing complex data, such as real-world clinical data and multimodal omics (e.g, bulk, spatial/single-cell, proteomics) and high-throughput experimental data.

  • Biological knowledge: Strong knowledge of molecular biology and at least one major therapeutic area (oncology, Immunology & Inflammation, neurology, …).

  • Bias for action: Ability to operate in fast-paced environments, managing ambiguity, and driving progress toward delivery.

  • Engineering Proficiency: Very strong programming skills in Python; ability to both ideate and conduct exploratory analyses and data visualisations to aid interpretation; and write clean, production-grade code. Strong familiarity with coding agents.

  • AI/ML Experience: Familiarity with machine learning concepts (e.g., cross-validation, statistical tests) and frameworks (scikit-learn, XGBoost, etc.). Experience with LLMs and agentic AI frameworks is a plus.

  • Communication: Exceptional ability to translate scientific complexity for non-technical internal and external stakeholders. 

Preferred qualifications/bonus:

  • Experience in a Biotech/Pharma environment and excellent understanding of the different steps and respective needs of the typical Pharma drug discovery pipeline.

  • Demonstrated ability to write production-level code in deployed products. 

 

What we offer
  • Flexible work organization

  • Friendly and informal working environment

  • Opportunity to work with an international team with high technical and scientific backgrounds

Recruitment Process & Security
  • Please complete the form and submit your CV.

  • Owkin is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, sex, gender, sexual orientation, age, color, religion, national origin, protected veteran status or on the basis of disability.

  • Owkin is a great place to work. As a coveted workplace we are, unfortunately, vulnerable to recruitment phishing scams. We urge all job seekers and candidates to be wary of potential scams. Most of these have individuals posing as representatives of prominent companies, including Owkin, with the aim of obtaining personal, sensitive, or financial information from applicants. These scams prey upon an individual’s desire to obtain a job and can sometimes “feel” like a genuine recruitment process. Some red flags are identified below. Should you encounter a recruitment process that claims to be for Owkin but is not consistent with the below, please do not provide any personal or financial information:

  • Legitimate Owkin recruitment processes include communication with candidates through recognized professional networks, such as LinkedIn.

  • Communication is always through an official Owkin email address (from the @owkin.com domain), over the phone or through our applicant tracking system (Greenhouse).

  • The Owkin talent team do use platforms such as LinkedIn and Job Teaser, however if you have any concern or doubt about this contact, please ask for them to send an email from @Owkin.com.

  • The Owkin talent team will not solicit personal data from candidates during the application phase including, but not limited to, date of birth, social security numbers, or bank account information;

  • Legitimate Owkin interviews may be conducted over the phone, in person, or via an approved enterprise videoconferencing service (Google Meets). They will not occur via Signal, Telegram or Messenger

  • Owkin offers of employment are based on merit and only extended once a candidate has interviewed with members of the talent and hiring team. Offers will be extended both verbally and in written format.

If you think that you have been a victim of fraud,

How we rate this

Forward Deployed Computational Biologist at Owkin rates 89 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

scikit-learnXGBoost

Also common in forward deployed engineer jobs at this level

Pay

Typical forward deployed engineer job
$182k

This posting doesn't list pay. Use the typical forward deployed engineer figure when pay comes up. See forward deployed engineer jobs

Questions you could be asked

  1. What's a project where you used scikit-learn hands-on?
  2. Walk me through how you've used XGBoost in your day-to-day work.
  3. How would you decide a model or AI system is ready to ship?
  4. Tell me about a time a model underperformed in production. How did you find out, and what did you change?

Adapt your resume

  • List these exact terms on your resume: scikit-learn and XGBoost. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

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