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Machine Learning Computational Chemistry Jobs in Clark, NJ

Develop machine learning models for geospatial inference of key ecosystem metrics, leveraging ... Collaborate with computational ecologists and data scientists to integrate generative design with ...

Force Field Scientist

New York, NY · On-site

$120K - $145K/yr

A student of computational chemistry or biophysics who has developed models for small molecules and ... machine learning What you'll do: * Facilitate computer-aided chemical discovery by expanding the ...

Force Field Scientist

New York, NY · On-site

$120K - $145K/yr

A student of computational chemistry or biophysics who has developed models for small molecules and ... machine learning What you'll do: * Facilitate computer-aided chemical discovery by expanding the ...

Vice President of Marketing

New York, NY · On-site

$250K - $300K/yr

... machine that supports our mission to revolutionize drug discovery. Who will love this job: * A ... with chemists and other computational researchers * A data strategist and AI innovator who ...

Showing results 41-60

Machine Learning Computational Chemistry information

What is machine learning computational chemistry?

Machine learning computational chemistry is a field that combines machine learning techniques with computational chemistry to accelerate the discovery and design of molecules and materials. By training algorithms on large datasets of chemical information, researchers can predict molecular properties, simulate chemical reactions, and optimize compounds more efficiently than traditional methods. This approach helps reduce the time and cost required for research in drug discovery, materials science, and related fields.

What are some common challenges faced by professionals working in machine learning computational chemistry roles?

One common challenge in Machine Learning Computational Chemistry roles is integrating large and often complex chemical datasets with appropriate machine learning models, which requires a solid understanding of both domains. Professionals may also encounter difficulties in ensuring that their models are both interpretable and generalizable to new data, as overfitting is a frequent issue. Additionally, collaboration with chemists and data scientists is essential, so clear communication across disciplines is key to success. Staying up to date with the latest developments in both computational chemistry and machine learning is crucial for ongoing professional growth.

What are the key skills and qualifications needed to thrive as a machine learning computational chemist, and why are they important?

To thrive as a Machine Learning Computational Chemist, you need a solid background in chemistry, mathematics, and computer science, typically supported by an advanced degree in computational chemistry, cheminformatics, or a related field. Proficiency with programming languages (such as Python), machine learning frameworks (like TensorFlow or PyTorch), and molecular modeling software is essential. Strong analytical thinking, problem-solving skills, and effective collaboration are key soft skills that help drive innovation and teamwork. These skills and qualifications are critical for developing accurate models, advancing research, and translating computational insights into real-world chemical solutions.

What is the difference between Machine Learning Computational Chemistry vs Computational Chemist?

AspectMachine Learning Computational ChemistryComputational Chemist
Required CredentialsAdvanced degrees in chemistry, computer science, or related fields; knowledge of machine learning and programmingDegree in chemistry, chemical engineering, or related fields; strong background in chemical theory and modeling
Work EnvironmentResearch labs, tech companies, academia; focus on algorithm development and data analysisLaboratories, research institutions, industry; focus on chemical modeling and simulation
Employer & Industry UsageTech firms, pharmaceutical companies, research institutions applying AI/ML techniquesPharmaceutical, chemical, and materials industries conducting chemical research and development

Machine Learning Computational Chemists specialize in applying machine learning algorithms to chemical data, enhancing predictive models and simulations. Computational Chemists focus on traditional chemical modeling and simulations using computational methods. Both roles require strong chemistry backgrounds, but Machine Learning Computational Chemists emphasize data science and AI skills, while Computational Chemists focus on chemical theory and modeling techniques.

What are popular job titles related to Machine Learning Computational Chemistry jobs in Clark, NJ?

For Machine Learning Computational Chemistry jobs in Clark, NJ, the most frequently searched job titles are:

What cities near Clark, NJ are hiring for Machine Learning Computational Chemistry jobs?

Cities near Clark, NJ with the most Machine Learning Computational Chemistry job openings:

Infographic showing various Machine Learning Computational Chemistry job openings in Clark, NJ as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 23% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Senior Computational Biologist - Early Discovery Immunology

Recursion

New York, NY • On-site

$166K - $220K/yr

Full-time

Re-posted 25 days ago


Job description

Your work will change lives. Including your own.
The Impact You'll Make
As a computational biologist within Recursion's early discovery team, you will be at the forefront of reimagining drug discovery from first principles. Your mission is to integrate Recursion's massive datasets-phenomics, transcriptomics, genomics, proteomics-to nominate novel targets, validate disease biology, and define the precision I&I strategies to advance our most promising therapeutic targets into full-fledged drug discovery programs.
This is a highly collaborative role: you will partner with biologists, chemists, data scientists, platform and data engineers, and translational experts to develop and scale methods for target discovery and validation. You will also partner with computational scientists from across the organization to develop novel approaches to agentic target packages, early translational de-risking, and mechanism of action identification. The ideal candidate has strong stakeholder management, technical communication skills, and 3+ years biotech or pharma experience in early drug discovery.
We are hiring for two roles on a new target ID team, one domain expert in immunology and inflammatory diseases (this role) and one in precision oncology.
In this role, you will:
  • Drive Target Discovery: Evaluate the molecular evidence for target nomination and validation, leveraging Recursion's platform to identify novel vulnerabilities in I&I disease biology
  • Pilot novel methods for target discovery, disease biology validation, and early patient population hypotheses to send programs into nomination cascades
  • Define internal criteria for target data packages and early patient population strategy
  • Connect your innovative analysis methods to platform and engineering teams so that we solve the current project and accelerate future ones
  • Collaborate cross-functionally: Partner with biologists, medicinal chemists, translational, and portfolio leads to build compelling data packages that drive program milestones and internal investment decisions.
  • Present data analysis to decision makers and stakeholders in a clear and compelling way that drives toward getting medicines to patients.

The Team You'll Join
Our group is a bold, agile, diverse collective of computational drug discovery scientists deeply focused on the singular goal of bringing new therapeutics into the clinic at an accelerated pace. Our expertise spans precision oncology, I&I (immunology and inflammation), and neuroscience and we focus on advancing novel, targeted therapies in these disease areas. We partner closely with other functions to design and execute impactful and decisional data analyses for new targets and drug programs and are responsible for data strategy across the portfolio. We prioritize career development, fluency at the intersection of biology and technology, and a strong network of technical feedback and support.
The Experience You'll Need
  • PhD in a relevant field (computational biology, bioinformatics, systems biology, immunology, etc.) with a very strong computational focus and 3+ years of experience in biotech or pharma industry OR MS in a relevant field and 5+ years of experience in biotech or pharma industry solving fundamental problems in early drug discovery
  • Domain expertise in immunological diseases and target id
  • Strong understanding of patient genetics and druggability of disease relevant pathways
  • Experience applying computational methods (including probabilistic, statistical, and/or machine learning techniques) to analyze and integrate complex biological and/or human clinical data in a high level programming language such as Python or R
  • Exceptional data visualization skills
  • Excellent cross-functional communication skills, including an ability to explain complex scientific concepts to a variety of audiences using a combination of plots, documents, and presentations

Nice To Have:
  • Experience building a target discovery engine using public and proprietary datasets
  • Experience designing high-throughput screens with CRISPR or small molecule perturbations to validate therapeutic hypotheses
  • Previous exposure to efficient drug program advancement from proof of concept to IND

Working Location & Compensation:
This is an office-based, hybrid role in our Salt Lake City, UT or New York, NY offices. Employees are expected to work in the office at least 50% of the time.
At Recursion, we believe that every employee should be compensated fairly. Based on the skills, experience, and qualifications needed for this role, the estimated annual base salary range is:
  • New York City: $166,980 to $220,660
  • Salt Lake City: $151,800 to $200,600

In addition to base salary, this role is eligible for an annual bonus, equity compensation, and a comprehensive benefits package.
#LI-EP1
The Values We Hope You Share:
  • We act boldly with integrity. We are unconstrained in our thinking, take calculated risks, and push boundaries, but never at the expense of ethics, science, or trust.
  • We care deeply and engage directly. Caring means holding a deep sense of responsibility and respect - showing up, speaking honestly, and taking action.
  • We learn actively and adapt rapidly. Progress comes from doing. We experiment, test, and refine, embracing iteration over perfection.
  • We move with urgency because patients are waiting. Speed isn't about rushing but about moving the needle every day.
  • We take ownership and accountability. Through ownership and accountability, we enable trust and autonomy-leaders take accountability for decisive action, and teams own outcomes together.
  • We are One Recursion. True cross-functional collaboration is about trust, clarity, humility, and impact. Through sharing, we can be greater than the sum of our individual capabilities.

Our values underpin the employee experience at Recursion. They are the character and personality of the company demonstrated through how we communicate, support one another, spend our time, make decisions, and celebrate collectively.
More About Recursion
Recursion (NASDAQ: RXRX) is a clinical-stage TechBio company decoding biology to radically improve lives. Recursion is advancing a portfolio of differentiated investigational medicines across its wholly owned and partnered pipeline in oncology, rare disease, neuroscience, immunology, and other therapeutic areas with significant unmet need. Enabling its mission is the Recursion OS, an AI-native, end-to-end drug discovery and development platform integrating biology, chemistry, and clinical development into a unified intelligence system. Powered by proprietary multimodal data, purpose-built AI models, and bilingual teams fluent in both science and AI, the Recursion OS is designed to translate complex science into medicines that matter - faster, better, and at scale - for patients who are waiting.
Recursion's platform infrastructure is anchored in Salt Lake City, Utah and Milton Park, Oxfordshire, where its automated biology and chemistry laboratories generate proprietary data at industrial scale. Recursion also maintains offices in New York, Montréal, and London, three global hubs for talent and leadership at the intersection of AI and scientific innovation. Learn more at www.recursion.com, or connect on X and LinkedIn.
Recursion is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected under applicable federal, state, local, or provincial human rights legislation.
Accommodations are available on request for candidates taking part in all aspects of the selection process.
Recursion leverages AI in our hiring process. We use Greenhouse's Talent Matching AI technology feature to help review applications against the skills and experience we've identified as important for this role. It analyzes your resume and application responses to assess how closely your qualifications match our criteria - but all decisions are made by our human recruiters and hiring managers, including whether to move to the next phase of review. Talent Matching does not automatically advance or reject any candidate. By submitting your application, you acknowledge that you have been informed about and consent to this use of the Talent Matching tool in our review process. Please refer to our Recursion Privacy Policy at https://www.recursion.com/privacy-notice/ for more information about our processing of personal data and your rights.
Recruitment & Staffing Agencies: Recursion Pharmaceuticals and its affiliate companies do not accept resumes from any source other than candidates. The submission of resumes by recruitment or staffing agencies to Recursion or its employees is strictly prohibited unless contacted directly by Recursion's internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Recursion, and Recursion will not owe any referral or other fees. Our team will communicate directly with candidates who are not represented by an agent or intermediary unless otherwise agreed to prior to interviewing for the job.