EPM Scientific

About the Company

3D printing. Gene editing. Artificial intelligence. Big data. New technologies are radically transforming the way that we treat patients and cure diseases on earth and in space; fusing the physical, digital and biological worlds. There has never been a more exciting time to work in life sciences. EPM Scientific are proud to be a leading specialist talent partner in life sciences. Founded in 2012, we help clients solve the number one challenge: talent. Today, we provide permanent, contract and multi-hire talent solutions to support the whole product life-cycle from research and development through to market launch and pharmacovigilance.

If you would like to talk to us about your current talent needs, please request a call back here and one of our specialist consultants will call you back to discuss your hiring needs: https://www.epmscientific.com/request-a-call-back

Listed Jobs

Company Name

EPM Scientific

Job Title

Staff Machine Learning Scientist

Job Description

**Job title**: Staff Machine Learning Scientist **Role Summary**: Lead the design, development, and deployment of large‑scale foundation models for high‑dimensional biological data, integrating deep learning with experimental workflows to advance regenerative medicine. **Expectations**: - Drive end‑to‑end model lifecycle from research to production. - Collaborate with computational biologists and lab teams to align model development with experimental feedback. - Scale distributed training/inference pipelines to manage trillion‑token datasets. **Key Responsibilities**: 1. Design and implement transformer‑based foundation models for single‑cell RNA‑seq and other omics data. 2. Develop and experiment with advanced architectures (e.g., transformers, diffusion, multimodal). 3. Engineer scalable distributed training and inference systems for large biological datasets. 4. Integrate reinforcement learning, RLHF, or PPO techniques when appropriate. 5. Mentor junior researchers and coordinate with cross‑functional teams to translate insights into production solutions. **Required Skills**: - 3+ years ML experience, expertise in transformer architectures and large‑scale training. - Proficiency in Python and deep learning frameworks (PyTorch or TensorFlow). - Strong background in distributed systems, GPU/TPU optimization, and data pipeline engineering. - Knowledge of computational biology and single‑cell analysis is essential. - Familiarity with RLHF, PPO, diffusion models, or multimodal architectures is a plus. **Required Education & Certifications**: - Master’s or Ph.D. in Computer Science, AI, Computational Biology, or related discipline. ---

Boston, United states

On site

Junior

08-09-2025

Company Name

EPM Scientific

Job Title

Founding Machine Learning Scientist

Job Description

Job Title: Founding Machine Learning Scientist Role Summary: Lead the design, development, and production of generative protein design models at a stealth-stage biotech. Own end‑to‑end ML components, integrate closed‑loop training with high‑throughput wet‑lab experiments, and scale pipelines across thousands of GPUs. Expectations: - 2+ years of experience building and deploying generative models. - Strong interdisciplinary collaboration with AI researchers and drug discovery scientists. - Humility, proactiveness, and a team‑first mindset. Key Responsibilities: 1. Design, implement, and deploy generative protein design models. 2. Develop closed‑loop training pipelines integrating wet‑lab experimentation. 3. Scale training and inference across GPUs using Ray, Anyscale, AWS, and GCP. 4. Establish validation and benchmarking protocols for model performance. 5. Own end‑to‑end ML workflow from research to production. Required Skills: - Generative modeling (LLMs, diffusion models, flow matching). - Large‑scale training and inference pipeline development. - Experience with Ray, Anyscale, or similar distributed training frameworks. - Proficiency in cloud platforms (AWS, GCP). - Strong problem‑solving and cross‑disciplinary communication. - Familiarity with high‑throughput biology pipelines is a plus. Required Education & Certifications: - Bachelor’s or Master’s degree in Computer Science, Applied Mathematics, Computational Biology, or related quantitative field. - PhD preferred but not mandatory. ---

San francisco county, United states

Hybrid

08-09-2025

Company Name

EPM Scientific

Job Title

Founding Machine Learning Engineer - Post Training, RL

Job Description

**Job Title** Founding Machine Learning Engineer – Post Training, RL **Role Summary** Lead the design, development, and deployment of post‑training pipelines for large language models (LLMs) and multimodal biomedical foundation models. Own end‑to‑end solutions from data ingestion to production deployment, ensuring models are tuned, evaluated, and scaled for real‑world drug discovery applications. **Expectations** - Own the core AI stack and shape model architecture for frontier‑scale biomedical AI. - Deliver production‑ready systems within a fast‑paced, collaborative environment. - Work closely with product, research, and data teams to translate scientific requirements into scalable engineering solutions. **Key Responsibilities** - Build and optimize SFT, DPO, RLHF, and reward‑modeling pipelines for biomedical LLMs. - Architect scalable data processing and filtering workflows for terabyte‑scale structured and unstructured datasets. - Design and implement distributed training systems across multi‑cloud environments. - Rapidly prototype, evaluate, and ship production‑ready model versions. - Collaborate with product and research teams to define evaluation metrics and deployment strategies. **Required Skills** - Strong software engineering expertise in large‑scale AI/ML system deployment. - Deep knowledge of LLM training, instruction tuning, RLHF, reward modeling, and evaluation. - Proficiency in Python and mainstream ML frameworks (PyTorch, JAX). - Experience with distributed training, multi‑cloud infrastructure, and data pipeline design. - Ability to iterate quickly and translate complex scientific needs into robust engineering solutions. **Required Education & Certifications** - Bachelor’s (or higher) degree in Computer Science, Electrical Engineering, Data Science, or related field. - Proven track record of shipping end‑to‑end frontier ML models (preferred). ---

United states

Remote

07-09-2025

Company Name

EPM Scientific

Job Title

Clinical Supplies BD Manager

Job Description

**Job title:** Clinical Supplies BD Manager **Role Summary:** Lead business development for clinical supply management solutions, driving new client acquisition, partnership cultivation, and market expansion within the life sciences sector. **Expectations:** - Proactively identify and engage prospective clients to grow the client portfolio. - Act as a strategic advocate for packaging, labeling, distribution, and returns solutions. - Conduct in‑depth market research to spot trends, assess competition, and identify opportunities aligning with company goals. - Collaborate with cross‑functional teams to deliver solutions that meet client expectations and industry standards. - Provide actionable insights to enhance product offerings and innovation. **Key Responsibilities:** 1. Prospecting and relationship building with prospects in pharmaceuticals and related life sciences. 2. Presenting tailored clinical supply solutions and articulating value propositions. 3. Researching market dynamics, emerging trends, and competitor activities. 4. Coordinating with product, operations, and regulatory teams to ensure client‑centric solutions. 5. Gathering and communicating client feedback and market insights to improve services. **Required Skills:** - Deep understanding of clinical supply management (packaging, labeling, distribution, returns). - Strong business development acumen and ability to secure new business. - Advanced market research and analytical capabilities. - Strategic thinking aligned with organizational objectives. - Excellent communication, negotiation, and relationship‑building skills. - Adaptability to changing client needs and industry trends. **Required Education & Certifications:** - Bachelor’s degree in Life Sciences, Business Administration, Pharmaceutics, or related field. - Relevant certifications in supply chain, pharmaceutical regulations, or sales (e.g., CPMP, GMP) preferred but not mandatory.

Surrey, United kingdom

On site

13-11-2025