Open Roles

  • AI Scientist

    Remote or Philadelphia, PA

    About the Role

    We are seeking an AI Scientist to develop novel algorithms and machine learning architectures that accelerate the drug discovery and delivery process. This is a high-impact, cross-functional role that involves close collaboration between lab scientists, software engineers, and business leaders.

    You will not only design and build foundational models but also work directly with wet lab teams to translate biological challenges into computational solutions. Your work will have a direct, tangible impact on the end-to-end development process.

    Key Responsibilities

    • Develop foundational generative models for designing novel chemical structures and compounds for drug and vaccine delivery systems.

    • Design, build, and scale production-grade machine learning models.

    • Contribute to building and growing the computational and machine learning team.

    • Collaborate closely with the wet lab and platform teams to improve and iterate on therapeutic applications.

    • Establish and maintain best practices for model development, validation, and deployment.

    • Communicate findings and progress to technical and non-technical stakeholders, including leadership.

    What We’re Looking For

    You may thrive in this role if you have:

    • A Master’s or PhD in Computer Science, Machine Learning, or a related field.

    • 2+ years of experience building and deploying production machine learning models.

    • Advanced proficiency in Python.

    • Experience with machine learning frameworks like PyTorch, TensorFlow, or JAX.

    • Strong mathematical foundations and a deep understanding of machine learning principles, network architectures, evaluation metrics, and optimization techniques.

    • Solid background in software engineering and algorithm design.

    • The ability to thrive in fast-paced, dynamic environments with evolving objectives.

    • Passion for solving end-to-end problems and driving complex technical solutions.

    • Interest in computational chemistry, biology, and healthcare.

    Nice to Have

    • Experience applying machine learning to biological or chemical domains.

    • Familiarity with state-of-the-art generative models (e.g., LLMs, diffusion & flow models, VAEs, GANs, EBMs).

    • Publications at top-tier conferences such as NeurIPS, ICML, ICLR etc.

    • Familiarity with wet lab processes and experimental pipelines.

    Location

    • Open to remote HQ in Philadelphia. 

  • Kosha Therapeutics | Remote or Philadelphia, PA

    About the Role

    We are seeking a Platform Software Engineer to build robust infrastructure and tools that power our drug discovery and delivery platform. This is a high-impact, cross-functional role that involves close collaboration between lab scientists, machine learning engineers, and business leaders.

    You will design and build scalable systems that enable our computational and experimental teams to work efficiently. Your work will directly support the end-to-end drug development process, from initial discovery through preclinical development.

    Key Responsibilities

    • Design, build, and maintain production-grade software platforms and infrastructure for computational drug discovery workflows

    • Develop internal tools and APIs that enable lab scientists and ML engineers to interact with data, models, and experimental results

    • Build data pipelines and infrastructure to support large-scale biological and chemical datasets

    • Architect and implement scalable, reliable systems that integrate computational models with experimental workflows

    • Establish and maintain best practices for software development, testing, deployment, and monitoring

    • Collaborate closely with wet lab, machine learning, and platform teams to understand needs and deliver solutions

    • Communicate technical decisions and progress to both technical and non-technical stakeholders, including leadership

    What We're Looking For

    You may thrive in this role if you have:

    • A Bachelor's or Master's in Computer Science, Software Engineering, or a related field

    • 2+ years of experience building and deploying production software systems

    • Advanced proficiency in Python and at least one other programming language (e.g., Go, Rust, Java, TypeScript)

    • Experience with cloud platforms (AWS, GCP, or Azure) and container orchestration (Docker, Kubernetes)

    • Strong understanding of software architecture, design patterns, and distributed systems

    • Solid background in databases, APIs, and data engineering

    • The ability to thrive in fast-paced, dynamic environments with evolving objectives

    • Passion for solving end-to-end problems and building tools that empower scientists

    • Interest in computational biology, chemistry, and healthcare applications

    Nice to Have

    • Experience building platforms or tools for scientific computing, bioinformatics, or computational chemistry

    • Familiarity with machine learning infrastructure and MLOps practices

    • Knowledge of data engineering frameworks (e.g., Airflow, Dagster, Prefect)

    • Experience with scientific Python stack (NumPy, Pandas, SciPy) or visualization tools

    • Understanding of laboratory information management systems (LIMS) or electronic lab notebooks (ELN)

    • Contributions to open-source scientific software projects

    Location

    • Open to remote • HQ in Philadelphia