Lead Computational Biologist

Job description

About

Scienta Lab is a deeptech company harnessing artificial intelligence to transform the drug discovery and development process in immunology and inflammation.
With its unique and proprietary EVA foundation model dedicated to immune-mediated diseases, Scienta Lab leverages multimodal data to bridge the gap of translational research, accelerate the validation of new therapeutic targets and the development of personalized treatments. The company’s research activities, led in partnership with top-tier academic institutions across Europe, are regularly featured in medical journals and international congresses.
Scienta Lab is based in Biolabs Hôtel Dieu and has been selected amongst the 2023 edition of the Future 40 program which rewards the most promising startups of Station F each year. In December 2023, the company announced a seed round of 4M from CentraleSupélec Venture and a team of world-class business angels and is thus seeking for top talents to accelerate its development.

We are a team with diverse backgrounds in AI, Computational Biology, Immunology and pharma industry, with half the company with PhDs. Join us and be a part of our exciting journey to unravel the mysteries of the immune system!

Discover who we are and what we value here .

Job Description

As a Lead Computational Biologist at Scienta Lab you will lead high-impact research projects at the interface of deep learning, computational biology, bioinformatics and drug discovery & development.

You will be part of the R&D team and will report to Scienta Lab’s CTO and collaborate with external collaborators (academic medical researchers / pharmaceutical companies) to leverage EVA capabilities for translational research.

We value high-level coding and research and aim to develop a culture of continuous improvement in the team. We implement good practices to deliver production-ready software and top-tier scientific publications in these areas.

Main Missions :

· 
Leverage Scienta Lab’s foundation model to answer medical and scientific questions to identify new biomarkers, therapeutic targets, drug combinations, indications expansions, and optimized drug development strategies.

· 
Lead computational biology strategy of the company, by identifying technical advances in scientific litterature to support the development of our model, and its multimodal and cross-species capabilities.

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Mentor junior computational biologists by providing hands-on guidance in computational biology methods and bioinformatics tools, guide them in implementing best practices for reproducible research and handling of complex and large multi-omics datasets

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Contribute to the R&D team's processes and good practices. This entails actively participating in refining and optimizing the software development lifecycle, ensuring efficient and high-quality delivery of projects. We expect you to actively engage in code reviews, mentorship, and knowledge sharing, fostering a culture of continuous learning and growth within the team.

Preferred Experience

Who we are looking for

· 
Degree (PhD/Master) in Computer Science, Computational Biology, or Bioinformatics

· 
You have extensive experience in developing machine learning models and statistical methods to solve complex biological questions with multi-omics data

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You are familiar with deep learning frameworks (Tensorflow, PyTorch, Jax) and model training processes

· 
Good command of coding in Python, and strong grasp of programming best practices

· 
Professional working proficiency in English

How to stand out

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You have high agency, look for solutions and not problems and you are a team-player willing to go beyond your job description

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You are experienced in working in dynamic and changing environments such as startups

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Demonstrated expertise in computational biology and deep learning, including scientific publications at top ML conferences (NeurIPS, ICLR, ICML, …)

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You are experienced in leading AI projects, from initial requirements to production-ready model

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Experience training and using large deep learning models

Recruitment Process

· 
Introductory meeting with Scienta Lab's CTO

· 
Case study to prepare at home to plan for a project roadmap, including resources, timelines and technical approach you would suggest

· 
Fit-interview with Scienta Lab's founding team, preferably in-person at our offices.

Additional Information

·  Contract Type: Full-Time
·  Location: Paris
·  Possible partial remote