Director of Contract Manufacturing Engineering at Thermo Fisher driving cost - out strategy across Asia. Building partnerships and improving operational performance in the manufacturing network.
About the role
- Associate Director leading scientific technology development for drug discovery at Johnson & Johnson. Focused on peptide and small molecule discovery, mentoring scientists, and delivering tools for informatics capabilities.
Responsibilities
- Lead and mentor a high-performing team of scientists and engineer-scientists focused on developing scientific technologies for multiple modalities with a focus on peptide and small molecule discovery.
- Team deliverables include, but are not limited to, genAI design pipelines for peptide hit finding, ultra-large virtual screening workflows for small molecules, and end-user applications for molecule design and SAR analysis.
- Define and execute a technical roadmap that advances our in-house informatics capabilities and chemistry-focused data analytics applications.
- Ensure the team delivers robust and roll out-ready tools and platforms to computational non-experts to enable self-service analysis.
- Provide hands-on technical guidance and review.
- Act as cross-functional partner to IT, chemistry, screening, and other wet-lab and in silico discovery groups to align deliverables with research needs, prioritize work, and translate scientific requirements into reliable tools.
- Encourage a culture of scientific rigor, accountability, integrity, collaborative problem solving, and continual learning.
- Manage and mentor junior scientists fostering their development as leading discovery informatics scientists.
Requirements
- Advanced degree (PhD preferred) in Computational Chemistry, Cheminformatics, Bioinformatics, Biophysics, Computer Science with strong domain experience, or related field.
- 8+ years of relevant industry experience in cheminformatics or related scientific technology roles
- Extensive hands-on experience in life science informatics working with large-scale data aggregation, manipulation, integration, mining, and analysis, including structured and unstructured data sources.
- Excellent coding ability (preferably python) plus expertise in databases (e.g., PostGres, Snowflake) and ETL frameworks.
- Solid understanding of drug discovery workflows — chemistry, screening, assay technologies, and common experimental data issues and artifacts.
- Demonstrated ability to ideate, implement, and deliver informatics solutions with measurable impact on portfolio projects.
- Proven track record of partnering cross-functionally with chemists, biologists, screening teams, other in silico scientists and IT to deliver impactful tools and analyses.
- Excellent communication skills, ability to explain technical trade-offs to scientific and non-technical stakeholders.
- Strong commitment to integrity, accountability, and talent development.
- High creativity, curiosity and willingness to continuously learn and adapt in a constantly changing digital landscape.
Benefits
- medical
- dental
- vision
- life insurance
- short- and long-term disability
- business accident insurance
- group legal insurance
- consolidated retirement plan (pension)
- savings plan (401(k))
- Vacation – up to 120 hours per calendar year
- Sick time - up to 40 hours per calendar year
- Holiday pay, including Floating Holidays – up to 13 days per calendar year of Work, Personal and Family Time - up to 40 hours per calendar year
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