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Sr Sci Cheminformatics

Johnson & Johnson

Sr Sci Cheminformatics

Johnson & Johnson

Beerse, Antwerp, Belgium

·

On-site

·

Full-time

·

6d ago

Required Skills

Go

Machine Learning

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and Med Tech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at jnj.com.

As guided by Our Credo, Johnson & Johnson is responsible to our employees who work with us throughout the world. We provide an inclusive work environment where each person is considered as an individual. At Johnson & Johnson, we respect the diversity and dignity of our employees and recognize their merit.

Job Function:

Data Analytics & Computational Sciences:

Job Sub Function:

Data Science

Job Category:

Scientific/Technology

All Job Posting Locations:

Beerse, Antwerp, Belgium

Job Description:

We are seeking a passionate and dedicated Senior Scientist, Cheminformatics to join our cutting-edge drug discovery team. This position offers an exciting opportunity to build and advance state-of-the-art informatics capabilities, working closely with medicinal chemists and multidisciplinary project teams. If you have a strong foundation in cheminformatics, a passion for coding, and a keen interest in drug discovery, we want to hear from you!

Key Responsibilities

  • Advance drug discovery projects by implementing industry-leading cheminformatics, data science, and machine learning approaches, thereby strengthening data-driven decision-making

  • Implement ML models to support the execution of sequential screening

  • Integrate and mine internal and external heterogenous data sources in support of pre-portfolio projects, especially target-agnostic phenotypic screens

  • Build user-friendly GUIs and dashboards to facilitate data exploration and presentation

  • Design, build and optimize informatics workflows working closely together with our IT team to go all the way from ideation to production

  • Collaborate with cross-functional teams to translate data insights into actionable decisions in drug discovery

  • Stay up to date with the latest developments in cheminformatics, machine learning, and computational chemistry

Required Skills

  • PhD in Computational Chemistry, Cheminformatics, Bioinformatics, or a related field

  • Solid knowledge of organic and/or medicinal chemistry

  • Good understanding of structure- and ligand-based SAR analysis

  • Knowledge of small molecule descriptors, fingerprints, and related cheminformatics concepts

  • Hands-on experience with mining public data sources such as ChEMBL, Uniprot, Protein Atlas, and Gene Ontology

  • First-hand experience with state-of-the-art cheminformatics techniques, e.g. FWA, MMP, enumeration and generative tools (CrEM, Re Invent)

  • Excellent coding skills (preferably python)

  • Experience with cheminformatics software and libraries (e.g., RDKit, Open Eye toolkits)

  • Familiarity with high-performance computing (HPC) environments and cloud computing platforms

  • Enthusiasm for drug discovery and working within multi-disciplinary project teams

  • Strong problem-solving skills and ability to work independently and collaboratively

Preferred Skills

  • Proficiency in front-end technologies and visualization techniques, preferably with previous experience in the development of visualization tools to enable drug discovery

  • Experience with machine learning applications in molecular design (sequence models, generative models, property prediction)

  • Familiarity with agentic systems and their application to pharmaceutical research

  • Experience in software engineering and CI/CD

  • Familiarity with molecular modeling software (Schroedinger, MOE, Cresset) and end-user design tools (e.g., Live Design)

Required Skills:

Preferred Skills:

Advanced Analytics, Business Intelligence (BI), Coaching, Collaborating, Critical Thinking, Data Analysis, Database Management, Data Privacy Standards, Data Reporting, Data Savvy, Data Science, Data Visualization, Econometric Models, Process Improvements, Technical Credibility, Technologically Savvy, Workflow Analysis

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About Johnson & Johnson

Johnson & Johnson

Caring for the world, one person at a time.

10000+

Employees

New Brunswick

Headquarters

Reviews

3.6

5 reviews

Work Life Balance

3.8

Compensation

2.5

Culture

3.0

Career

3.2

Management

2.8

45%

Recommend to a Friend

Pros

Good work-life balance

Strong R&D division

University talent engagement

Cons

Contract employee job security issues

Pay cuts during transitions

Product liability concerns

Salary Ranges

2,248 data points

Junior/L3

L3

L5

L6

Mid/L4

Senior/L5

Staff/L6

Junior/L3 · Data Scientist Level 23

0 reports

$105,109

total / year

Base

-

Stock

-

Bonus

-

$89,343

$120,875

Interview Experience

7 interviews

Difficulty

3.0

/ 5

Duration

14-28 weeks

Experience

Positive 0%

Neutral 86%

Negative 14%

Interview Process

1

Application Review

2

HireVue Video Interview

3

Recruiter Screen

4

Technical/Hiring Manager Interview

5

Panel Interview

6

Offer

Common Questions

Behavioral/STAR

Technical Knowledge

Past Experience

Culture Fit

Case Study