ZipRecruiter

Log In

1

Drug Discovery Ai Jobs in Rio Rancho, NM (NOW HIRING)

micro1 AI

Bioinformatics Software Engineer

Rio Rancho, NM · Remote

$80 - $110/hr

No prior experience in AI is required -- your domain knowledge is what matters. Scope of Work * Analyze and interpret small-molecule and drug discovery datasets using advanced computational biology ...

micro1 AI

Bioinformatics Software Engineer

Albuquerque, NM · Remote

$80 - $110/hr

No prior experience in AI is required -- your domain knowledge is what matters. Scope of Work * Analyze and interpret small-molecule and drug discovery datasets using advanced computational biology ...

All JobsDrug Discovery Ai JobsDrug Discovery Ai Jobs in Rio Rancho, NM

Drug Discovery Ai information

See Rio Rancho, NM salary details

$28

$57

$87

How much do drug discovery ai jobs pay per hour?

As of Sep 2, 2026, the average hourly pay for drug discovery ai in Rio Rancho, NM is $57.77, according to ZipRecruiter salary data. Most workers in this role earn between $40.00 and $69.42 per hour, depending on experience, location, and employer.

What is Drug Discovery AI?

Drug Discovery AI refers to the use of artificial intelligence technologies to accelerate and enhance the process of discovering new pharmaceutical drugs. AI algorithms can analyze large datasets, predict the effectiveness of compounds, identify potential drug targets, and optimize clinical trial designs. By leveraging machine learning and deep learning, Drug Discovery AI helps reduce the time and cost involved in bringing new drugs to market while increasing the chances of finding effective therapies. This approach is transforming traditional drug discovery by improving accuracy and efficiency at every stage.

How does a Drug Discovery AI professional typically collaborate with multidisciplinary teams during a drug development project?

Drug Discovery AI professionals often work closely with biologists, chemists, pharmacologists, and data scientists to integrate computational models with experimental data. They collaborate by interpreting complex datasets, suggesting new molecular candidates, and refining predictive algorithms based on laboratory results. Effective communication and teamwork are essential, as AI insights must align with laboratory findings and regulatory requirements. Regular meetings and cross-functional discussions ensure that AI-driven recommendations are actionable and valuable to the overall drug development process.

What are the key skills and qualifications needed to thrive as a Drug Discovery AI specialist, and why are they important?

To thrive as a Drug Discovery AI Specialist, you need a strong background in computational biology, machine learning, and drug discovery processes, typically supported by an advanced degree in a relevant field. Expertise in programming languages like Python or R, experience with bioinformatics tools, and familiarity with platforms such as TensorFlow or PyTorch are commonly required. Strong problem-solving, collaboration, and communication skills help bridge gaps between multidisciplinary teams and translate complex data into actionable insights. These skills are crucial for accelerating drug development, improving accuracy, and enabling innovative solutions in pharmaceutical research.

What is the difference between Drug Discovery Ai vs Data Scientist in the pharmaceutical industry?

AspectDrug Discovery AiData Scientist
Required credentialsDegree in bioinformatics, computational biology, or related fields; knowledge of AI/MLDegree in computer science, statistics, or related fields; strong programming skills
Work environmentPharmaceutical R&D, biotech companies, research labsTech companies, research institutions, healthcare analytics
Employer and industry usagePrimarily in pharma and biotech for drug developmentAcross various industries including healthcare, finance, tech

Drug Discovery Ai specialists focus on applying AI and machine learning to identify new drug candidates, working mainly within pharmaceutical and biotech R&D environments. Data Scientists have broader roles across industries, analyzing large datasets to inform decision-making. While both roles require strong analytical skills and programming knowledge, Drug Discovery Ai professionals specialize in drug development processes, making their expertise more specific to the pharmaceutical industry.

Drug Discovery Ai jobs near you
Infographic showing various Drug Discovery Ai job openings in Rio Rancho, NM as of June 2026, with employment types broken down into 81% Full Time, 16% Part Time, 2% Contract, and 1% Nights. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $120,158 per year, or $57.8 per hour.

AI Training Specialist - Cheminformatics

micro1 AI

Rio Rancho, NM • Remote

$80 - $110/hr

Part-time

This job post has expired today. Applications are no longer accepted.

Job description

Role Title: Computational Biology & Cheminformatics Expert


Role Type: Contractor


Location: Remote


micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their expertise to a customer’s computational drug discovery project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Scope of Work

  1. Analyze and interpret small-molecule and drug discovery datasets using advanced computational biology, bioinformatics, and cheminformatics methods.
  2. Curate, annotate, and validate chemical and biological datasets (e.g., ChEMBL, PubChem, DrugBank) to support AI-driven discovery platforms.
  3. Evaluate compound-target interactions, ADMET properties, and lead optimization strategies by integrating chemical, biological, and clinical data sources.
  4. Provide expert insights on structure-activity and structure-property relationships (SAR/SPR), medicinal chemistry approaches, and experimental design considerations.
  5. Build and implement code-based benchmark tasks (e.g., terminal/CLI-based environments) that reflect realistic computational drug discovery scenarios.
  6. Develop reproducible environments (e.g., using Docker) and automated testing pipelines to ensure task correctness and solvability.
  7. Assess and review AI-generated outputs for scientific rigor, accuracy, and practical relevance, delivering detailed written feedback and recommendations.


Preferred Qualifications

  1. Advanced expertise in Computational Biology, Cheminformatics, Medicinal Chemistry, Biochemistry, or related fields; advanced degree (PhD, MSc, PharmD) highly valued but not strictly required.
  2. Strong coding proficiency in Python (beyond analysis scripts), with hands-on experience building tools, pipelines, or testable code; familiarity with Git, GitHub, and Docker.
  3. Extensive experience with cheminformatics toolkits and platforms such as RDKit, KNIME, Schrödinger, OpenEye, or MOE.
  4. Proven track record in small-molecule drug discovery, SAR/QSAR evaluation, ADMET prediction, or virtual screening workflows.
  5. Comfort working with public chemical and bioactivity databases and integrating diverse datasets for scientific analysis.
  6. Demonstrated ability to clearly communicate complex chemical and biological concepts in written feedback and reports.
  7. Experience participating in multidisciplinary and/or remote projects; familiarity with AI-assisted coding tools is a plus.

Apply