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Machine Learning Computational Chemistry Jobs in Griffith, IN

This role involves performing complex computational analyses and guiding algorithm development for ... Proficiency applying machine learning, statistical modeling, LLM-based coding assistants (e.g ...

D. in Computer Science, Artificial Intelligence, Machine Learning, Applied Mathematics, Statistics, Computational Linguistics, or a related field strongly preferred. * Deep expertise in machine ...

HPC Systems Architect

Chicago, IL · On-site

$200K - $225K/yr

... machine learning workloads * Integrate cutting-edge technologies to enhance computational power and capabilities * Evaluate and select best-in-class hardware and software solutions, optimizing our ...

... machine learning, and quantum mechanics applications. * Curriculum Awareness & Adaptive Instruction ... Adapts instruction using matrix visualization tools, computational software like MATLAB or Python ...

Linear Algebra Tutor

Chicago, IL · Remote

$18 - $40/hr

... machine learning, and quantum mechanics applications. * Curriculum Awareness & Adaptive Instruction ... Adapts instruction using matrix visualization tools, computational software like MATLAB or Python ...

Linear Algebra Tutor

Oak Lawn, IL · Remote

$18 - $40/hr

... machine learning, and quantum mechanics applications. * Curriculum Awareness & Adaptive Instruction ... Adapts instruction using matrix visualization tools, computational software like MATLAB or Python ...

Research Technician

Chicago, IL · On-site

$19.23 - $26.44/hr

Job Summary The principal contribution of this position is computational and administrative support in the Applebaum lab, designed to understand how machine learning and artificial intelligence ...

Showing results 41-60

Machine Learning Computational Chemistry information

Is computational chemistry in demand?

Computational chemistry is in high demand within industries such as pharmaceuticals, materials science, and chemical research, where it supports drug discovery and molecular modeling. Professionals with skills in machine learning, programming, and chemistry are increasingly sought after to develop advanced simulation tools and analyze complex data sets.

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 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 are popular job titles related to Machine Learning Computational Chemistry jobs in Griffith, IN? For Machine Learning Computational Chemistry jobs in Griffith, IN, the most frequently searched job titles are:
What cities near Griffith, IN are hiring for Machine Learning Computational Chemistry jobs? Cities near Griffith, IN with the most Machine Learning Computational Chemistry job openings:

Senior Director, Functional Genomics & Organoid Systems Biology

Tempus AI, Inc.

Chicago, IL • On-site

$190 - $270/hr

Other

PTO

Posted 2 days ago

New


Tempus AI rating

7.7

Company rating: 7.7 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

147th of 242 rated software companies


Job description

Passionate about precision medicine and advancing the healthcare industry? Recent advancements in underlying technology have finally made it possible for AI to impact clinical care in a meaningful way. Tempus' proprietary platform connects an entire ecosystem of real-world evidence to deliver real-time, actionable insights to physicians, providing critical information about the right treatments for the right patients, at the right time.

We are seeking an exceptional Senior Director, Functional Genomics & Organoid Systems Biology to lead and expand our patient-derived organoid (PDO) biology platform. This leader will drive the wet lab component of our systems biology team, and will help define how this experimental layer will combine with computational approaches and the massive multimodal Tempus data layer to unlock new biological insights. This leader will oversee a multidisciplinary team of scientists and research associates responsible for executing large-scale functional screens—including CRISPR-based genetic perturbation screens, drug sensitivity screens, single-cell and spatial technologies, and combination therapy studies—in clinically annotated patient-derived organoid models. The successful candidate will define and drive the scientific vision for leveraging PDOs to validate hypotheses generated from Tempus' unique real-world clinico-genomic data assets. Working closely with computational scientists, machine learning researchers, translational scientists, and clinical teams, this individual will establish an integrated discovery engine that translates patient data into experimentally validated therapeutic opportunities. This is a highly visible leadership role that combines scientific strategy, organizational leadership, platform development, and translational research to identify novel targets, biomarkers, and therapeutic strategies for cancer patients.

This position is based in Tempus’ Chicago lab: hybrid or remote candidates will not be considered.

Key Responsibilities
  • Define and execute the long-term scientific strategy for functional screening and target discovery using patient-derived organoid models.
  • Establish a world-class organoid-based discovery platform capable of validating hypotheses generated from large-scale multimodal patient datasets.
  • Serve as a scientific thought leader internally and externally, representing the company through publications, presentations, and strategic collaborations.
  • Oversee the design, execution, and interpretation of large-scale CRISPR screening campaigns, including knockout, activation, interference, and pooled screening approaches.
  • Lead drug screening efforts across diverse PDO models to identify therapeutic sensitivities, resistance mechanisms, and rational drug combinations.
  • Drive development of next-generation functional assays incorporating co-culture systems, immune components, and emerging technologies.
  • Establish rigorous experimental standards, quality systems, and reproducible workflows across the screening platform.
  • Ensure efficient scaling of laboratory operations to support discovery and translational research objectives.
  • Partner closely with computational biology and data science teams to prioritize hypotheses arising from real-world patient data.
  • Create an iterative discovery framework in which computational predictions are experimentally tested and experimental findings inform subsequent computational analyses.
  • Collaborate with clinical, molecular profiling, and translational research teams to connect experimental findings with patient outcomes and therapeutic hypotheses.
  • Build, lead, and mentor a high-performing team of scientists, research associates, and laboratory personnel.
  • Foster a culture of scientific excellence, innovation, accountability, and collaboration.
  • Recruit top-tier talent across functional genomics, organoid biology, and translational oncology.
  • Establish clear goals, development plans, and performance expectations for team members.
  • Manage departmental budgets, resource allocation, and strategic planning.
Required Qualifications
  • PhD, MD, or MD/PhD in Cancer Biology, Molecular Biology, Genetics, Functional Genomics, Bioengineering, or a related discipline.
  • 8+ years of relevant industry and/or academic experience, including substantial leadership experience.
  • Deep expertise in cancer biology, functional genomics, and target discovery.
  • Demonstrated experience leading CRISPR-based screening programs and large-scale functional biology initiatives.
  • Hands‑on experience with patient‑derived organoids, ex‑vivo models, or other clinically relevant disease model systems.
  • Track record of translating biological insights into therapeutic hypotheses, biomarkers, or drug discovery programs.
  • Experience managing and mentoring multidisciplinary scientific teams.
  • Strong publication and/or patent record demonstrating scientific impact.
  • Excellent communication skills and ability to influence across scientific and executive stakeholders.

CHI: $190,000 - $270,000 The expected salary range above is applicable if the role is performed from Illinois and may vary for other locations (California, Colorado, New York). Actual salary may vary based on qualifications and experience.

  • Tempus offers a full range of benefits, which may include incentive compensation, restricted stock units, medical and other benefits depending on the position.

We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Tempus was founded in August of 2015 by Eric Lefkofsky, after his wife was diagnosed with Breast Cancer. Shortly after he founded the company in an effort to bring the power of technology and artificial intelligence to cancer care, he convinced Ryan Fukushima to join as the company’s first employee.

We built the platform for oncology and have expanded it to neuropsychiatry, cardiology, infectious disease (through COVID), and radiology. Despite our rapid growth, our mission remains the same—to help make sure patients are on the right drug at the right time, so they can live longer and healthier lives.

We’re looking for people who can change the world. Who question the status quo and don’t shy away from tough problems. For the builders who are never done building and the learners who are never done learning. We’re looking for passionate people with undying curiosity. Those who want to attack one of the most challenging problems mankind has ever faced. Head on.

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