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Remote Drug Discovery Intern Jobs (NOW HIRING)

... drug discovery organisations cannot match. Location: San Francisco (hybrid) or fully remote from Boston / San Diego Travel: Regular travel to our Glasgow HQ / Chemifarm The Role We are seeking a ...

Sales & Customer Success Intern

$15.25 - $20.75/hr

Remote (United States Only) Company: Digital Alpha About the Role Digital Alpha is looking for an ... Support customer discovery sessions and solution presentations. * Gather customer feedback and ...

Remote The Opportunity : Character Biosciences is a drug discovery and development company building world-class, deeply-phenotyped databases that integrate genomics with longitudinal clinical and ...

Head of Product

$238K - $249K/yr

You will work cross-functionally with engineering, AI/ML, scientists, drug discovery experts, and ... Remote-friendly culture with optional onsite work. * Annual team gatherings and company events.

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Remote Drug Discovery Intern information

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How much do remote drug discovery intern jobs pay per hour?

As of Jul 13, 2026, the average hourly pay for remote drug discovery intern in the United States is $17.04, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $19.23 per hour, depending on experience, location, and employer.

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

To thrive as a Remote Drug Discovery Intern, you typically need a background in chemistry, biology, or a related field, along with strong analytical and research skills. Familiarity with molecular modeling software, data analysis tools, and laboratory information management systems (LIMS) is often required. Effective communication, attention to detail, and the ability to work independently are valuable soft skills for remote collaboration and problem-solving. These competencies are crucial for efficiently supporting drug discovery projects and contributing to innovative research in a virtual setting.

What is the difference between Remote Drug Discovery Intern vs Remote Pharmaceutical Research Assistant?

AspectRemote Drug Discovery InternRemote Pharmaceutical Research Assistant
Required CredentialsTypically pursuing or holding a degree in chemistry, biology, or related fieldSimilar educational background, often with some laboratory or research experience
Work EnvironmentRemote, often part-time or internship-based, with collaboration via online toolsRemote or hybrid, supporting research projects in pharmaceutical companies or labs
Employer & Industry UsagePharmaceutical and biotech companies, research institutionsPharmaceutical companies, research labs, academic institutions
Common Search & ComparisonYesYes

The Remote Drug Discovery Intern and Remote Pharmaceutical Research Assistant roles share similar educational requirements and work environments, often involving remote collaboration in pharmaceutical research. The main difference lies in the level of experience and specific responsibilities, with interns typically gaining entry-level exposure, while research assistants may have more hands-on lab or project duties.

What does a Remote Drug Discovery Intern do?

A Remote Drug Discovery Intern assists with research and development of new pharmaceutical compounds, often by supporting tasks such as data analysis, literature reviews, computational modeling, and virtual screening of potential drug candidates. Working remotely, these interns collaborate with research teams through digital platforms, contributing to various stages of the drug discovery pipeline. The role provides valuable experience in both scientific research and remote teamwork, often requiring strong analytical, communication, and problem-solving skills.

How does a Remote Drug Discovery Intern typically collaborate with research teams and mentors while working off-site?

As a Remote Drug Discovery Intern, you will regularly collaborate with research teams and mentors through virtual meetings, project management platforms, and shared digital lab notebooks. Effective communication is crucial, as you'll often discuss experimental data, propose hypotheses, and receive feedback via video calls or chat. Most organizations provide access to computational tools and databases to facilitate your work, and you'll likely participate in group discussions or journal clubs to stay updated on emerging research. Building strong relationships and proactively seeking guidance are key to succeeding in a distributed environment.
More about Remote Drug Discovery Intern jobs
What cities are hiring for Remote Drug Discovery Intern jobs? Cities with the most Remote Drug Discovery Intern job openings:
What states have the most Remote Drug Discovery Intern jobs? States with the most job openings for Remote Drug Discovery Intern jobs include:
Infographic showing various Remote Drug Discovery Intern job openings in the United States as of July 2026, with employment types broken down into 1% Internship, 91% Full Time, 7% Part Time, and 1% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $35,436 per year, or $17 per hour.

Solutions Engineering Intern - Commerical Team (Chicago)

Salt Ai

Evanston, IL • Remote

$30 - $40/hr

Part-time

Posted 24 days ago


Job description

(Chicago based) Applied AI Intern – Salt Os

Office of the CBO & Sales Solutions

Help Us Build the Future of AI for Regulated Industries

Our Mission

Salt AI is founded by industry veterans in high-performance computing (HPC), artificial intelligence and life sciences. Salt AI is dedicated to providing reliable and transparent AI solutions that advance the underlying goals and purpose of life sciences teams. We’ve focused our collective expertise on a tech-enabled offering that realizes successful outcomes faster and more efficiently than previously imagined.

Salt is building the intelligence layer for the enterprise. In a world where AI is fragmented across models, tools, and data silos, Salt unifies them through a compliance-first orchestration platform. Our OS turns regulated industries like life sciences into intelligent, adaptive systems—where autonomous AI agents operate securely, governably, and in harmony. Salt is defining how enterprises will deploy and scale AI responsibly at the foundation level.

About This Role

Salt AI is looking for a motivated intern to work directly with our Chief Business Officer and Sales Solutions team. You’ll help design, prototype, and implement AI-driven solutions across pharmaceutical, biotech, and enterprise applications—with hands-on exposure to how agentic AI can transform real-world R&D and commercial workflows. You’ll work directly with the Salt toolkit alongside experienced scientists, engineers, and forward-deployed solutions experts.

This is a ground-floor opportunity at the intersection of AI orchestration infrastructure, life sciences, and enterprise go-to-market—helping shape how regulated organizations adopt AI in their most critical processes.

Example Projects

• Computational protein design workflows to accelerate therapeutic discovery

• Clinical trial design with agentic leverage

• Drug discovery pipelines using multi-agent coordination (e.g., modeling, simulation, optimization, critic agents)

• Personalization engines driving omnichannel customer touchpoints

• AI copilots for genetic counseling

• Full-team workflow design for agent-led financial restructurings

What You’ll Do

• Architect and iterate on agent-based systems that execute complex workflows, particularly in drug discovery and life sciences R&D.

• Work alongside the CBO and solutions engineers to understand client workflows end-to-end, from initial discovery through prototype delivery.

• Build functional workflow prototypes using Salt’s orchestration platform, translating client and research problems into working demonstrations.

• Reproduce and evaluate existing AI models and research papers to assess their applicability within Salt’s infrastructure.

• Help identify opportunities within drug discovery and adjacent domains where AI can meaningfully enhance processes and outcomes.

• Support the development and optimization of ML and deep learning models for research applications, adapting them for new use cases.

• Research domain-specific requirements across life sciences, financial services, and energy—feeding findings back to the commercial and product teams.

• Contribute to reusable templates, documentation, and technical content that enable partners to self-serve and scale.

• Stay current with emerging AI trends, agent frameworks, and orchestration tooling, and share insights with the broader team.

• Collaborate cross-functionally to translate scientific and business problems into AI-driven approaches.

Requirements

• Currently pursuing a Bachelor’s, Master’s, or PhD in Computer Science, Artificial Intelligence, Data Science, Bioinformatics, Computational Biology, or a related field.

• Experience with LLMs, agent frameworks, or workflow orchestration tools (e.g., LangChain, AutoGen, BioNemo, or similar).

• Familiarity with AI-assisted coding tools (e.g., Claude Code, Codex, or similar).

• Academic or personal AI/ML project experience—you’ve built things, not just studied them.

• Exposure to analyzing or reproducing research papers.

• Coursework or project work related to life sciences, bioinformatics, or computational biology.

• Strong analytical and problem-solving skills.

• Effective communication and teamwork skills—able to translate technical concepts into practical, client-facing applications.

• Willingness to learn and adapt in a fast-paced, build-from-scratch environment.

Nice to Have

• Prior experience in drug discovery or AI research.

• Interest in pharmaceutical or biotech applications, particularly therapeutic discovery pipelines.

• Familiarity with scientific computing environments, data lineage, or provenance tracking.

• A scrappy mentality—comfortable wearing multiple hats, driving clarity in ambiguous situations, and doing whatever it takes to move things forward.

• Professional-level English communication skills.

You’ll Know You’re Succeeding If

• You’re consistently thinking about how clients use the prototypes and workflows you build, and which problems they solve.

• The tools and templates you build become reusable assets that the solutions team relies on, not one-off demos.

• Cross-functional teams—commercial, product, and engineering—see the value in your work and pull you into new conversations.

• You’re learning fast and contributing meaningfully to real client engagements.

Perks and Benefits

• Competitive internship compensation based on location.

• Fully remote environment, working primarily within U.S.-based time zones.

• Direct mentorship from senior leadership including the CBO and solutions engineering team.

Join Us

At Salt AI, we’re building more than just a product—we’re creating the systems that will power the future of AI deployment for regulated industries. If you’re excited about building at the intersection of AI infrastructure, life sciences, and enterprise sales, we’d love to hear from you. We’re committed to building a diverse, inclusive team and encourage applications from candidates of all backgrounds and experiences.