Please submit your CV in English and indicate your level of English proficiency. Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment. What this opportunity involves While each project involves unique tasks, contributors may:  - Design original computational chemistry problems that simulate real chemistry research workflows; - Create problems requiring Python programming to solve (using numpy, scipy, chemical libraries); - Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks); - Develop problems requiring non-trivial reasoning chains in physical chemistry, quantum chemistry, and molecular modeling; - Base problems on real research challenges or practical applications from chemistry practice; - Verify solutions using Python with standard computational chemistry approaches; - Document problem statements clearly and provide verified correct answers. What we look for This opportunity is a good fit for chemistry specialists with an experience in python open to part-time, non-permanent projects. Ideally, contributors will have:   - Degree in Chemistry or related fields; - Python proficiency for numerical validation. MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata or knowledge of any programming language can be equivalent; - 2+ years of professional experience: applied, research, or teaching experience is applicable; - Experience with numerical methods in chemistry; - Familiarity with computational chemistry concepts and methods; - Strong written English (C1+). How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active. Compensation On this project, contributors can earn up to $45 per hour equivalent, depending on their level and pace of contribution. Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.

Please submit your CV in English and indicate your level of English proficiency. Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment. What this opportunity involves While each project involves unique tasks, contributors may:  - Design original computational chemistry problems that simulate real chemistry research workflows; - Create problems requiring Python programming to solve (using numpy, scipy, chemical libraries); - Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks); - Develop problems requiring non-trivial reasoning chains in physical chemistry, quantum chemistry, and molecular modeling; - Base problems on real research challenges or practical applications from chemistry practice; - Verify solutions using Python with standard computational chemistry approaches; - Document problem statements clearly and provide verified correct answers. What we look for This opportunity is a good fit for chemistry specialists with an experience in python open to part-time, non-permanent projects. Ideally, contributors will have:   - Degree in Chemistry or related fields; - Python proficiency for numerical validation. MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata or knowledge of any programming language can be equivalent; - 2+ years of professional experience: applied, research, or teaching experience is applicable; - Experience with numerical methods in chemistry; - Familiarity with computational chemistry concepts and methods; - Strong written English (C1+). How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active. Compensation On this project, contributors can earn up to $35 per hour equivalent, depending on their level and pace of contribution. Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.

Genesis Molecular AI is assembling a world-class computational chemistry team to revolutionize drug discovery through cutting-edge machine learning and biophysical simulation. We are seeking a Senior CADD Scientist to join our team, working directly with scientists in our state-of-the-art wet lab and with our distributed computational chemistry and CADD science teams across the US. What You Will Do (Key Responsibilities) - Utilize a combination of industry-standard and proprietary AI-powered CADD tools to guide small molecule drug discovery programs across a diverse target portfolio, including novel targets with limited chemical precedents. - Use approaches like virtual screening, molecular simulation, and potency and ADMET prediction to support key decision-making in drug discovery efforts. - Collaborate closely with medicinal chemists in molecular design and the development of project-specific computational approaches. - Act as a cross-team connector, effectively communicating between our computational chemistry and medicinal chemistry teams to ensure seamless information flow and collaborative decision making. - Adapt to a fast-paced environment where innovation and quick iteration are encouraged. What you’ll bring - PhD in Computational Chemistry, Structural Biology, or a related field. This particular role may also be suitable for PhD-level scientists with degrees in organic or medicinal chemistry with extensive experience in the lab, who have transitioned into industry roles in CADD. - Deep understanding of structure-based drug design and protein-ligand interactions. - Proficiency with industry-standard CADD tools such as MOE, PyMOL, and Schrodinger Suite. - Minimum of 2+ years of industry experience as a CADD scientist in pharma or biotech, with hands-on experience in active drug discovery programs. - Onsite in our San Diego lab is preferred for this role, to be able to collaborate with our scientists. We are open to remote team members too. What we offer - Competitive Pay - Health Care Plans (including Medical, Dental, and Vision, fully covered for the employees) - Stock Option Eligibility - 401(k) Plan - Open PTO Policy - Paid Company Holidays - Subsidized lunch and snacks at our offices About Genesis Molecular AI Genesis Molecular AI is pioneering foundation models for molecular AI to unlock a new era of drug design and development. The company’s generative and predictive AI platform, GEMS (Genesis Exploration of Molecular Space), integrates AI and physics into industry-leading models to generate and optimize drug molecules, including the breakthrough generative diffusion model Pearl for structure prediction. Genesis has raised over $300 million from leading AI, tech and life science-focused investors, signed multiple AI-focused research collaborations with major pharma partners, and is deploying GEMS to advance an internal therapeutics pipeline for a variety of high-impact targets. Genesis is headquartered in San Mateo, CA, with a fully integrated laboratory in San Diego. We are proud to be an inclusive workplace and an Equal Opportunity Employer.

At WISEcode, we're a well-funded, dynamic startup. WISEcode makes personalized nutrition a reality based on the facts – what truly is in our food — and marries this data with your preferences. Powered by AI and the world’s best food and nutrition database, WISEcode embraces the fact that we are all different, have different dietary needs, objectives, and preferences, and should not be at the mercy of market spin or “expert” opinion. Every one of us should have the information we need to make the best decisions for ourselves. About the Role WISEcode is a food tech AI company building the world’s most comprehensive food data platform. We map 15,000 data points per product to power a scientific logic engine that determines how food is understood. At the center of this system is the Code Library—a growing set of computational models that translate ingredients and nutrients into structured intelligence. As an Applied Computational Nutrition Scientist, you are a model builder. You will use our proprietary Code Builder to explore structures, refine assumptions, and shape the behavior of the system that serves as the "Bloomberg for Food." The Applied Computational Nutrition Scientist role represents a fundamental shift in food science: moving away from linear hand-offs between scientists and engineers toward an interactive, rapid modeling loop. The role reports directly to the VP of Science. What You’ll Do - Scientific Modeling: Design, build, and iterate nutrition codes within our AI-based platform. You will manage the full " interactive modeling loop" : Hypothesis →Build→ Evaluate→ Refine. - Logic Architecture: Transition raw food data into structured, interpretable intelligence by exploring model structures, identifying edge cases, and refining scoring assumptions. - Library Governance: Own the integrity of the Code Library as a strategic asset. Ensure every model is architected for cross-product consistency and serves as the "ground truth" for our AI systems. - Iterative Experimentation: Test model variations and interpret AI-generated structures to improve accuracy and real-world relevance. - Partner Ecosystems: Lead collaborative code-building sessions with external partners, guiding them through the creation of shared modeling frameworks. - Product Translation: Partner with the Product team to ensure that the scientific logic of our "Intelligence Layer" is documented for simplified, high-impact consumer narratives. What We’re Looking For Requirements - Domain Expertise: BS or MS in Nutrition, Food Science, or a related field with deep ingredient and food processing knowledge. - Technical Experience: 2–3 years of experience in a technical, analytical, or data-driven role. - Computational Modeling: Strong comfort with math, structured logic, and quantitative decision rules (thresholds, scoring systems, rule-based logic). - Platform Fluency: Ability to work within a proprietary computational system, interpreting outputs and refining system behavior. - Project Coordination: Proven experience supporting or coordinating projects: staying organized, tracking details, and delivering on time in a team setting. - Facilitation & Communication: Strong organization and facilitation skills used to support team projects and help others succeed. You are a collaborative, proactive, and highly reliable communicator. - Mindset: A natural explorer who enjoys identifying edge cases and refining scientific assumptions through rapid iteration. Successful Profile - Model Builder: You thrive on exploring structures and shaping system behavior rather than just following predefined instructions. - From Lab to Field: You take complex concepts out of the lab and into the field, ensuring rigorous nutritional math translates into functional utility. - The Translator: You have a product-centric mindset, intuitively seeing how a scoring system impacts a B2B dashboard or consumer app. - Operational Excellence: You maintain the highest standards of data integrity while moving with the speed of an interactive modeling environment. WISEcode is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, please send a request to WISEcode Human Resources at jobs@wisecode.ai.