Research Scientist
AI Research Scientist - AI x Biology for Drug Discovery We are working with a pioneering, venture-backed startup that is transforming drug discovery by developing cutting-edge AI foundation models. This highly innovative company, backed by top-tier investors, has already made significant breakthroughs in molecular structure prediction and is now scaling its technology to tackle real-world drug discovery challenges. Position Overview Our client is seeking an experienced AI Research Scientist to lead the design and implementation of next-generation AI models for drug discovery. In this role, you will work closely with an elite founding team to develop innovative AI solutions that integrate deep learning with biological data, driving forward transformative advancements in areas such as protein design and small molecule discovery. Key Responsibilities Model Development: Design, implement, and evaluate novel AI models tailored for drug discovery applications, including protein design and small molecule discovery. Project Leadership: Manage large-scale machine learning research projects, ensuring they align with strategic business and scientific objectives. Scalable Systems: Scale models on massive datasets using distributed computing across multiple GPU nodes. Innovative Techniques: Develop new methodologies focused on large-scale models for biomolecular design. Pipeline Engineering: Build, test, and maintain robust AI pipelines for processing and analyzing extensive biological and chemical datasets. Collaboration & Integration: Partner with software engineering teams to integrate AI models into production systems and customer workflows. Research & Communication: Stay current with the latest advancements in AI and bioengineering, and contribute to research papers, patent applications, and case studies. Qualifications Educational Background: Master's or PhD in Computer Science, Computational Biology, Bioinformatics, or a related field. Technical Expertise: Minimum of 5 years of hands-on deep learning model development experience, with proficiency in PyTorch, JAX, or TensorFlow. Core Competencies: Strong foundation in machine learning, deep learning, and AI algorithms. Leadership & Innovation: Demonstrated ability to independently lead research projects, as evidenced by publications at top conferences or senior technical leadership roles. Domain Experience: Prior experience applying AI to biomolecular data is a plus. Team Leadership: Experience managing technical teams or complex projects is highly desirable. What They Offer Impactful Work: Engage in pioneering research that fundamentally changes the drug discovery process. World-Class Collaboration: Work alongside renowned leaders known for their contributions to AI and biological sciences. Competitive Compensation: Receive a highly competitive salary and equity package. Comprehensive Benefits: Enjoy healthcare and wellness benefits that support overall well-being. Professional Growth: Benefit from continuous learning and career development opportunities. Dynamic Culture: Thrive in a collaborative, high-energy startup environment dedicated to redefining the future of drug discovery and positively impacting millions of lives.
US$250000 - US$350000 per year + equity
San Francisco
Apply
Research And Development Engineer
A global leader in stent and balloon technologies, we push the boundaries of vascular innovation to restore blood flow and improve patient outcomes. With cutting-edge healing-focused technology, our solutions set new standards in precision, performance, and safety. Committed to transforming lives, we're redefining vascular therapy-one breakthrough at a time. R&D Responsibilities Contribute to process design, verification, and validation for related products. Develop operational instructions, technical drawings, and product quality requirements to ensure compliance and efficiency. Perform Installation Qualification (IQ), Operational Qualification (OQ), and Performance Qualification (PQ) for new equipment. Troubleshoot equipment and tooling issues, conducting basic maintenance as required. Manage the transfer of technical documentation, including Device Master Records (DMR) and Design History Files (DHF). Project Responsibilities Act as the primary point of contact for managing product production knowledge transfer between facilities. Work closely with cross-functional teams to drive projects and ensure timely execution. Lead project planning, progress monitoring, and risk management to enable seamless transitions. Oversee local production line setup, ensuring alignment with quality and efficiency standards. Ensure capability readiness and effective transfer of project-related knowledge and technology. Qualifications Bachelor's degree or higher in Engineering, Materials Science, Mechanical Engineering, or a related field. Minimum of 5 years of experience in the Class III Medical Device industry, preferably with balloon products. Strong project management expertise; PMP certification is preferred. Proven experience in product manufacturing transfers. Proficient in Microsoft Office and CAD software (SolidWorks, Creo, or similar). Familiarity with FDA and CE regulatory requirements. Fluent in German and Mandarin (spoken and written); English proficiency is a plus.
Negotiable
Baden-Wรผrttemberg
Apply
Senior Scientist
Title: (Senior) Scientist Location: Manhattan, NY Salary: $125,000-$145,000 Overview: EPM is currently partnered with clinical stage biopharmaceutical company with an exciting pipeline that shows preclinical promise in a broad range of clinical indications. Two lead assets are currently in early phase clinical developments, and on track for further clinical development this year. The leadership team brings over 25 years of success, with FDA-approved therapies, IPO launches, and multiple strategic biotech exits, along with deep connections across life sciences and venture ecosystems. Backed with resourceful funding and high-value partnerships in biotech and top-10 pharma, the company is well-positioned to reinvest into R&D, while advancing their current clinical pipeline in CNS and Fibrotic indications. They have identified that their platform naturally aligns with cardiovascular biology and are expanding into this area to drive the next wave of first-in-class therapies Key Responsibilities: Lead target discovery, identification, and validation efforts focused on cardiovascular and cardiometabolic diseases, leveraging a cutting-edge small molecule discovery platform. Design and execute in vitro and cell-based assays to interrogate target biology, disease-relevant pathways, and compound activity across cardiovascular indications (e.g., atherosclerosis, vascular remodeling, heart failure, and fibrosis). Collaborate cross-functionally with chemistry, translational, and clinical teams to ensure alignment between discovery biology and downstream development strategies. Apply deep knowledge of vascular biology, endothelial dysfunction, inflammation, and metabolic signaling to guide biological validation of new targets. Analyze and interpret complex data sets, integrating findings into broader disease biology and drug discovery programs. Contribute to the development of the cardiovascular research strategy, incorporating new technologies, disease models, and biomarker approaches to support target prioritization and lead optimization. Stay current with emerging science and competitive landscape in cardiovascular and cardiometabolic drug discovery, providing scientific insights to shape pipeline expansion. Key Skills & Qualifications: PhD in Cardiovascular Biology, Vascular Biology, Pharmacology, or a related discipline, with 3+ years of relevant industry experience(open to strong postdocs looking to transition). Deep expertise in cardiovascular disease biology, including knowledge of vascular dysfunction, endothelial biology, cardiomyocyte biology, cardiac fibrosis, and metabolic signaling. Hands-on experience with target discovery techniques such as: CRISPR screening RNA sequencing & omics data interpretation Biochemical and cellular assays to study target function (reporter assays, phenotypic screening, pathway modulation). Strong foundation in in vitro pharmacology- assay development, compound profiling, and mechanism-of-action studies for small molecules. Ability to work in a highly collaborative environment, communicating effectively with medicinal chemists, translational biologists, and external partners. Experience working within a small to mid-sized biotech environment is a plus - comfort operating in a fast-paced, evolving R&D setting. Passion for cardiovascular discovery and desire to play a hands-on role in shaping pipeline strategy in an innovative biotech setting.
US$130000 - US$150000 per year
New York
Apply
Associate Director, DMPK
We are seeking an Associate Director to join the DMPK team, specializing in ADME and pharmaceutical drug development for small molecule and protein therapeutics. This role involves representing the Development DMPK function on cross-functional project teams, overseeing drug metabolism and pharmacokinetics (PK) activities, contributing to regulatory submissions, and shaping departmental strategy. Key Responsibilities: Represent DMPK on project teams, defining ADME and PK strategies for biologics and small molecule therapeutics. Oversee nonclinical drug metabolism and PK studies (internal and outsourced), including study design, data interpretation, and reporting. Author and review regulatory documents (e.g., CTD sections for INDs, NDAs/BLAs, Investigator Brochures, briefing books). Address ADME and PK-related inquiries to support clinical development. Contribute to department strategy and, if needed, mentor junior scientists. Qualifications: Basic Qualifications: Ph.D. in Life Sciences with 6+ years of academic or industry experience, including 2+ years of leadership experience, OR Master's degree with 8+ years of experience, OR Bachelor's degree with 10+ years of experience. Expertise in drug disposition and PK of small molecules, including in vitro and in vivo ADME characterization. Strong understanding of small molecule drug development and regulatory requirements in drug metabolism, drug-drug interactions, bioanalysis, toxicology, and clinical pharmacology. Excellent written and verbal communication skills. Preferred Qualifications: 10+ years of experience in drug discovery and development, with 2+ years of leadership experience. Knowledge of PK/PD models and human PK/dose prediction. Experience in bioanalysis, regulatory submissions, and CRO oversight. Ability to work independently with cross-functional teams to implement ADME strategies and development plans.
US$180000 - US$200000 per year
New Brunswick
Apply
Director, Antibody Discovery
Overview: As the Director of Antibody Discovery - In Vitro, you will be an excellent addition to our fast-paced and exciting team of committed scientists. Utilize your depth and breadth of knowledge in antibody discovery, optimization, and program progression through discovery towards IND. With your experience and expertise, you will lead biologics programs from early discovery through candidate selection to IND, and activity that incorporates in vitro based discovery platforms such as yeast and phage display. Leadership: Utilize your deep knowledge of antibody discovery and optimization using in vitro methods such as yeast, phage, or mammalian display. (Yeast Display expertise strongly preferred) Guide the mining and triaging of antibody repertoires to advance therapeutic candidates. Provide strategic insights on candidate profiles, optimization approaches, and progression from lead to candidate. Incorporate NGS and Sanger sequencing for repertoire and clonal analysis. Drive efficient workflow progression and foster innovation within the team. Engage with external networks to evaluate new opportunities and partnerships. Program Leadership: Lead programs from discovery to IND, integrating early research and candidate selection. Possess detailed knowledge of the biologics process from discovery to pre-IND. Act as an ambassador for the biologics department, providing scientific input to project teams. Collaborate with internal and external groups to ensure efficient and transparent progression of molecules. People Leadership: Oversee the performance and results of a significant research function with managerial responsibilities. Adopt an enterprise mindset to inform resourcing and prioritization across the portfolio. Lead a team of skilled scientists, fostering their development and inspiring a team-centric mindset. Ensure effective resourcing and lead in-lab discovery and optimization campaigns, including affinity maturation and developability. Minimum Requirements/Qualifications: PhD with 10+ years of experience, MS with 16+ years, or BS with 18+ years. 9 years of industry experience and 9 years of managerial experience with a deep expertise in in Vitro Antibody Discovery (Yeast Display experience highly desirable) Expertise in a scientific area and up-to-date knowledge of scientific advancements. Ability to manage workload independently and drive research strategy.
US$200000 - US$240000 per year
Cambridge Springs
Apply
Associate Director, Antibody Discovery
Associate Director, Antibody Discovery We are seeking an accomplished and innovative Associate Director of Antibody Discovery to lead and drive efforts in antibody discovery and engineering. This individual will play a key role in developing and optimizing strategies to generate high-quality therapeutic antibodies, collaborating cross-functionally to advance programs from early discovery to development. Key Responsibilities: Lead and oversee antibody discovery efforts, including hybridoma, phage display, and other relevant platforms. Develop and implement strategies to enhance antibody engineering, affinity maturation, and developability. Manage and mentor a team of scientists to drive innovation and efficiency in antibody discovery. Collaborate with cross-functional teams, including protein engineering, bioinformatics, and preclinical development, to support pipeline progression. Evaluate and integrate emerging technologies to enhance antibody discovery capabilities. Contribute to IND-enabling studies and regulatory submissions as needed. Present findings and progress to internal and external stakeholders. Qualifications: Ph.D. in Immunology, Molecular Biology, Biochemistry, or a related field, with 7+ years of industry experience in antibody discovery and engineering. Proven expertise in hybridoma, phage/yeast display, B-cell screening, or other antibody discovery methodologies. Strong understanding of antibody characterization, developability assessments, and optimization. Experience leading scientific teams and managing discovery projects. Ability to work collaboratively in a dynamic, fast-paced environment. Strong communication and leadership skills, with a track record of scientific excellence and innovation.
US$170000 - US$180000 per year
La Jolla
Apply
Senior Project Manager
About the Client: Our client is a leading diagnostics company, that has been innovating best-in-class products for almost 30 years now. Their goal is to improve patient care by offering precision medicine solutions, using advanced testing to detect issues like organ rejection early, so doctors can make more informed decisions. They work on a global scale, and are looking to expand their project management headcount as they continue to see success. Job Title: Senior Project Manager About the Role: We are seeking a highly motivated Senior Project Manager to lead cross-functional initiatives in new product development, the scale-up of existing product lines, and continuous improvements in production and business processes. Reporting to the Senior Director of Project Management, this position will be responsible for driving project management efforts in support of key business objectives and goals. Responsibilities: Collaborate with project leads to ensure successful project completion. Develop, document, and maintain comprehensive project plans. Assess resource needs and work with functional managers and finance teams for resource planning. Organize and facilitate project team meetings, set agendas, take meeting minutes, and follow up on action items. Ensure the completion of design control documentation when required. Monitor project progress, identify risks, and manage potential opportunities related to timeline, budget, and scope. Track project performance against baseline metrics and SMART goals. Facilitate design reviews and phase gate reviews. Create and deliver clear, concise, and professional communications and presentations. Drive cross-functional communication and decision-making. Provide regular updates to ensure alignment on timeline, budget, and scope across project teams, stakeholders, and executive leadership. Manage internal relationships between cross-functional team members and stakeholders, as well as external relationships with third-party vendors, collaborators, and partners. Qualifications: BA/BS/MS in life sciences or related technical field. 5-8 years of relevant experience in diagnostics, medical devices, or biotech. Experience with software and digital projects is a plus. Strong knowledge of design control requirements and the product development lifecycle. Experience in regulated environments (e.g., FDA, CLIA, ISO 13485, CE/IVDR); global regulatory experience is a plus. Proficient in creating Gantt charts, project dashboards, and using project management tools. PMP certification is a plus, but not required. Comfort in interacting with leaders at all levels and influencing without direct authority. Strong interpersonal, motivational, and negotiation skills. Excellent analytical and problem-solving abilities, organizational skills, and attention to detail. Effective written and verbal communication. Capable of managing multiple complex, cross-functional projects simultaneously. Ability to adapt and respond quickly in a dynamic, fast-paced environment. Additional Details: This role offers the opportunity to have a direct impact on improving the lives of individuals through cutting-edge healthcare solutions. We are committed to taking great care of our people so that they can, in turn, deliver exceptional care to those we serve. Our competitive Total Rewards package includes: Competitive base salary and incentive compensation Comprehensive health and welfare benefits, including a gym reimbursement program 401(k) savings plan match Employee Stock Purchase Plan Pre-tax commuter benefits And more!
US$145000 - US$175000 per year
Brisbane
Apply
Research And Development Engineer
We have a current opportunity for a Research And Development Engineer on a permanent basis. The position will be based in Weil am Rhein. For further information about this position please apply. R&D Responsibilities Participate in process design and verification/validation for related products. Prepare operational instructions, technical drawings, and product quality requirements. Execute Installation Qualification (IQ), Operational Qualification (OQ), and Performance Qualification (PQ) for new equipment. Troubleshoot equipment and tooling issues, along with performing basic maintenance as needed. Transfer technical documentation, including Device Master Records (DMR) and Design History Files (DHF). Project Responsibilities Serve as the primary contact and manage the entire process of transferring product production knowledge between facilities. Collaborate with cross-functional teams to drive projects and ensure adherence to timelines. Oversee project planning and progress control to facilitate smooth and successful transitions. Supervise the setup of local production lines, ensuring compliance with quality and efficiency standards. Ensure readiness of capabilities and proper transfer of project-related knowledge and technology. Qualifications Bachelor's degree or higher in Engineering, Materials Science, Mechanical Engineering, or a related field. Minimum of 5 years of experience in the Class III Medical Device industry, with a preference for experience in balloon products. Strong project management experience, with Project Management Professional (PMP) certification preferred. Demonstrated experience in product manufacturing transfers. Proficient in Microsoft Office and CAD software such as SolidWorks or Creo. Familiarity with FDA and CE regulatory requirements. Proficiency in German and Mandarin, both spoken and written, is essential; English proficiency is a plus.
Negotiable
Weil am Rhein
Apply
Senior Scientist Electrochemical
About the Company Come join a cutting-edge Biotech that is looking to push the boundaries in oncology! Offers a chance to be a foundational member of a promising company, with high visibility throughout Executive leadership and the opportunity to guide a team. Key Responsibilities: Electrochemical Research and Development: Lead the design and optimization of electrochemical biosensors. Develop and implement innovative electrochemical detection methods. Translate biological signals into measurable electrical outputs with high sensitivity and specificity. Biosensor Design and Fabrication: Design and fabricate biosensors, focusing on electrode design and surface functionalization. Optimize biosensor performance by reducing noise and enhancing signal-to-noise ratios. Integrate biological components with electrochemical systems. Assay Development: Develop and optimize analytical assays for diagnostic applications. Validate and verify assay performance, ensuring high sensitivity, specificity, and reproducibility. Transition assays from research prototypes to commercially viable products. Qualifications: PhD in bioengineering, electrochemistry, or a related field. 5+ years of relevant industry experience. Strong background in biology and biosensor design. Expertise in electrochemical detection methods and biosensor fabrication. Proficiency in data analysis, signal processing, and statistical analysis. Excellent communication and collaboration skills. Compensation: $150,000 - $200,000 Equity Bonus + Benefits
US$150000 - US$200000 per year
Manhattan
Apply
Research Scientists & Engineers - Generative AI for Biology
Job Description: Research Scientists & Engineers - Generative AI for Biology & Medicine We are partnered with a newly established startup where visionary scientists, engineers, and entrepreneurs are redefining the future of biology and medicine through the power of Generative AI. We are building a transformative, interdisciplinary R&D team dedicated to decoding biology holistically and enabling the next generation of life-changing solutions and hiring for individuals at all levels (preference Staff / Principal). Position: Research Scientists & Engineers - Generative AI for Biology & Medicine Location: Silicon Valley, CA (with global outreach opportunities) Type: Full-Time What You'll Do Innovative Method Development: Design, implement, and benchmark novel deep learning methods for a range of biological applications. This includes computational protein design, generative modeling, and large-scale biological data analysis. Pipeline Engineering: Build, test, and deploy scalable, cloud-based pipelines that drive robust model training, testing, and inference. Interdisciplinary Collaboration: Work closely with a diverse team of experts in AI, computational biology, and traditional biological sciences to integrate cutting-edge techniques with complex datasets-ranging from single-cell RNA sequencing to spatial transcriptomics and proteomics. Research & Publication: Contribute to high-impact research by publishing findings in top-tier AI/ML and biology journals and conferences, helping to shape the future of biomedicine. Cross-Disciplinary Problem Solving: Tackle high-level challenges in drug design, bio-engineering, personalized medicine, and fundamental biomedical research by bridging AI with biological insights. What We're Looking For Essential Qualifications: Educational Background: PhD (or evidence of equivalent expertise) in Computer Science, Artificial Intelligence, Machine Learning, Computational Biology, Bioinformatics, Biochemistry, or a related technical field. Proven Innovation: A strong track record in research and innovation, with contributions to top-tier AI/ML (e.g., NeurIPS, ICML, ICLR) and/or core biology (e.g., Nature, Science, Cell) publications. Technical Expertise: Proficiency in deep learning frameworks (JAX, TensorFlow, or PyTorch) and programming languages (Python, C/C++, Java). A solid foundation in statistics, optimization, graph algorithms, and linear algebra is essential. Hands-On Experience: Demonstrated experience in developing, implementing, and debugging complex models, with a keen interest in generative methods, graph neural networks, or large-scale deep learning applications. Interdisciplinary Passion: A drive for bridging AI and biology, with the ability to rapidly learn new domain knowledge in a fast-paced startup environment. Engineering Best Practices: Familiarity with version control, documentation, and open-source contributions. Preferred Qualifications: 3+ years of post-PhD industry or postdoctoral experience, ideally in a startup or top-tier research lab environment. Experience working with diverse biological datasets (e.g., transcriptomics, epigenetics, proteomics, genetics). Familiarity with biological structure prediction algorithms (such as AlphaFold, RosettaFold) and network/systems biology methodologies. Expertise in distributed training, ML on accelerators, and cloud services. Prior exposure to graph ML frameworks (e.g., PyTorch Geometric, DGL) and advanced generative models. Why Join Us? This is your chance to join a team of dreamers and innovators who are pushing the boundaries of what's possible in biology and medicine. With our global footprint and cutting-edge approach, you'll play a pivotal role in pioneering transformative solutions that impact healthcare on a worldwide scale. If you're ready to leverage your expertise at the intersection of AI and biology to drive revolutionary change, we'd love to hear from you.
US$250000 - US$350000 per year + 25% annual target bonus, equity
Palo Alto
Apply
Data Specialist
Exciting Opportunity in Scientific Innovation EPM Scientific is proud to represent a well-funded, cutting-edge private research group based in the heart of New York City. We are looking for a dynamic scientist to join our team on a limited term basis, where you'll play a pivotal role in advancing drug discovery and data analytics. Position: Research Scientist - Data & Experimental Sciences Type: Limited Term (2-year position with full benefits) Location: New York City Salary: Annual base salary of $200,000-$240,000 What You'll Do Data Mastery: Curate, process, and analyze complex scientific datasets, primarily focused on chemical and biological data. Your insights will directly influence the company's data strategy. Collaborative Innovation: Work closely with a high-performing machine learning team to integrate data science with experimental research, driving forward novel approaches in drug discovery. Scientific Experimentation: Utilize your hands-on laboratory expertise to design, execute, and refine assays and techniques that push the boundaries of medicinal chemistry and pharmacology. Technical Leadership: Leverage your strong proficiency in Linux environments and Python to optimize data workflows and contribute to robust, scalable computational models. What We're Looking For Educational Background: A Ph.D. or Master's degree in medicinal chemistry, pharmacology, or a related scientific field. Laboratory Expertise: Demonstrated hands-on experience in a laboratory setting, with practical familiarity in conducting assays and relevant drug discovery techniques. Technical Skills: Proficiency in Linux and Python is highly desirable, empowering you to merge experimental science with advanced data analysis. This is a rare opportunity to work with a prestigious, well-funded research group that is at the forefront of scientific innovation. Not only will you be a part of a collaborative environment that values creativity and forward-thinking, but you'll also have the chance to significantly impact the future of drug discovery.
US$200000 - US$240000 per year
New York
Apply
Computational Protein Design Scientist
Job Description: Senior Computational Scientist - Computational Protein Design Our team is collaborating on an exciting new initiative with a prominent venture partner to build AI-driven platforms that accelerate innovation across the life sciences ecosystem. We are seeking a highly skilled Senior Computational Scientist to join our on-site team in Boston, MA. Position: Senior Computational Scientist - Computational Protein Design Location: On-site, Boston, MA Type: Full-Time What You'll Do Innovative Research & Development: Collaborate with a talented team to identify, create, implement, benchmark, and scale cutting-edge techniques that integrate biophysics and AI for computational protein design, with a focus on therapeutic modalities including antibodies. Strategic Project Delivery: Lead projects that develop advanced computational protein design strategies to meet diverse scientific and business challenges. Pipeline Development: Design, test, deploy, and maintain high-quality pipelines on cloud infrastructure, ensuring scalable and robust solutions. State-of-the-Art Modeling: Benchmark and implement leading models, including tools such as AlphaFold, ESMFold, and RoseTTAFold, to drive forward innovative protein design solutions. What We're Looking For Essential Qualifications: PhD in biochemistry, biophysics, bioinformatics, computational chemistry, computer science, AI/ML, or a related discipline focused on solving biological problems using computational approaches. Demonstrated hands-on experience in developing and implementing novel methods and algorithms for computational protein design. Proficiency in programming with languages such as Python, C/C++, or Java. Preferred Qualifications: 3+ years of industry experience in computational protein design or a related field. Experience with design and modeling tools such as Rosetta, RFDiffusion, ProteinMPNN, Chroma, etc. Background in developing generative AI, structure-, or sequence-based methods for therapeutic protein design. Familiarity with training generative AI models, applying bioinformatics approaches to sequence analysis, and managing large databases of protein structures and sequences. Experience with modern deep learning frameworks (e.g., PyTorch, JAX, SageMaker) and cloud services (e.g., Git, Docker, AWS Batch, Step Functions, EKS). Why Join Us? This is a unique opportunity to be at the forefront of innovation in the life sciences and AI space. You will work with a dynamic team dedicated to pioneering new solutions in computational protein design, directly contributing to transformative projects that impact a broad ecosystem.
US$180000 - US$220000 per year
Boston
Apply
