Job Title: Senior Data Scientist Location: [Not specified] Industry: Biotechnology / Pharmaceutical / Data Science About the Role A fast-growing biotech company focused on drug discovery and development is seeking a Senior Data Scientist to help build and scale a cutting-edge platform that integrates genomics with longitudinal clinical and imaging data. This interdisciplinary team leverages clinical science, statistical genetics, machine learning, and drug discovery to identify genetic drivers of disease, advance novel therapeutics, and develop data-driven approaches to patient stratification. Currently advancing multiple programs in ophthalmology (including dry age-related conditions) and early-stage discovery efforts in other therapeutic areas, the company is seeking a data scientist to drive novel insights and solutions using a rich, real-world dataset. Key Responsibilities Collaborate with cross-functional teams (Data Science, Clinical, Genetics) to develop and validate disease progression models, clinical endpoints, and stratification strategies using longitudinal real-world data. Design and implement advanced models and methodologies to inform clinical trial design, including patient targeting and endpoint optimization. Create novel digital biomarkers and longitudinal phenotypes that align with clinical endpoints to enhance target discovery efforts. Build and maintain data science products such as dashboards, pipelines, and models to support internal discovery and clinical teams. Skills & Qualifications PhD in Bioinformatics, Biostatistics, Computer Science, or related field, or Master’s degree with 4+ years of relevant experience. Proven ability to lead end-to-end data science projects from problem definition to deployment. Strong coding skills in Python and familiarity with modern data science libraries (e.g., pandas, scikit-learn, PyTorch, TensorFlow). Working knowledge of statistical techniques including GLMs, mixed models, experimental design, imputation, and dimensionality reduction. Experience with longitudinal biomedical data, including electronic medical records (EMRs). Background in applying computer vision techniques (e.g., CNNs) to biomedical imaging data. Strong analytical mindset and effective communication skills with the ability to work across teams. Preferred Qualifications Experience with clinical trial design and biomarker development. Familiarity with ophthalmology-related data and segmentation models. Experience working with genetics datasets, including GWAS and functional genomics analyses.

Job Title: Senior Vice President (SVP) of Product Department: Product Reports To: Chief Executive Officer Revision Date: Winter 2024 Position Summary: The SVP of Product will be responsible for defining the vision and strategic direction of a Software as a Medical Device (SaMD) portfolio. This role includes leading a team of high-performing product managers, owners, and designers, and collaborating closely with engineering, marketing, regulatory, clinical teams, as well as external physician users and medical advisors to bring innovative medical technology to market. Key Responsibilities: Lead, mentor, and grow a high-performing team of product professionals and designers while cultivating a culture of innovation, accountability, and cross-functional collaboration. Engage closely with physician customers and medical advisors to translate user needs into product requirements and to inform feature prioritization. Gather field feedback directly from physician users to support continuous product improvement. Oversee the full product portfolio, working in partnership with company leadership to define product vision and strategy. Develop and maintain the product roadmap in collaboration with engineering, ensuring optimal resource allocation and on-time delivery. Set and track key performance indicators (KPIs) to measure the success of product initiatives, employing a data-informed approach to guide decisions. Monitor industry trends, emerging technologies, and competitor offerings to continuously inform product strategy and team awareness. Skills and Qualifications: 15+ years of experience leading product teams in the MedTech sector. Strong preference for candidates with experience in medical imaging and/or cardiovascular applications. Proven track record of successfully launching SaaS-based medical products. Deep experience working within Agile development environments. Expertise in using data, A/B testing, and market insights to shape product strategy and deliver exceptional user experiences. Demonstrated ability to scale product teams and establish operational best practices while attracting and developing top talent. Strong bias for action and comfort operating in a fast-paced, startup environment. Exceptional communicator, able to convey complex technical ideas clearly to both internal and external audiences. Strategic thinker with a trusted presence across stakeholder groups and the ability to influence critical decisions. Education: Bachelor’s degree required; advanced degrees or certifications preferred. Travel Requirements: Occasional travel may be necessary.

About the Role A mission-driven, AI-first healthcare technology company is transforming clinical trial design by leveraging cutting-edge software and machine learning. The company’s AI-powered platform enables life sciences organizations to optimize complex trial designs, reduce development costs, accelerate milestones, and improve patient outcomes. The organization fosters an inclusive, growth-oriented culture with strong values around collaboration, innovation, and patient impact. It offers competitive compensation and benefits, generous leave policies, and hybrid work flexibility. Employees in the San Diego area split time between home and a collaborative office space, while remote team members participate in periodic in-person sessions. Position: Senior AI Data Scientist As a Senior AI Data Scientist, you will work directly with AI leadership and the CTO to drive execution of the organization’s AI strategy. This is a highly technical and hands-on role focused on developing and implementing state-of-the-art machine learning solutions across a variety of healthcare and clinical domains. You will design and build AI-powered capabilities, particularly in areas such as clinical trial optimization, protocol generation, outcome prediction, and unstructured data processing. A strong background in LLMs, MLOps, Python, and production-level ML deployment is required. This is a critical role for a pragmatic and inventive data scientist who thrives in fast-paced, impact-driven environments. Location Requirement: Must be available to work onsite in San Diego, CA 2–3 days per week. Key Responsibilities Collaborate with AI leaders, clinicians, and product managers to design, implement, and deploy machine learning applications that address real customer problems. Build and evaluate prototypes, translating research into functional ML solutions with productization in mind. Extract insights from complex, structured and unstructured medical data sources to improve trial design and decision-making. Design, deploy, and maintain production-grade inference models and data pipelines. Lead model performance monitoring and optimization efforts. Share ML knowledge across product and engineering teams; help stakeholders understand trade-offs, requirements, and potential impact of AI initiatives. Mentor junior team members and contribute to technical leadership within the organization. Stay current on AI advancements in healthcare; contribute to publications, conferences, and internal knowledge sharing. Required Qualifications Bachelor's or higher in Computer Science, Machine Learning, Data Science, or a related technical field. 5+ years experience in applied ML/AI roles with a strong record of shipping AI-powered product features. Proven, hands-on experience coding production-ready LLM pipelines using tools like LlamaIndex, LangChain, or similar frameworks (not solely reliant on hosted cloud services). Expertise in long-form text generation, prompt engineering, and LLM evaluation and tuning. Strong proficiency with Python and production ML tools. Experience in RAG (retrieval-augmented generation) methods and agentic workflows using multiple LLMs. Demonstrated ability to work collaboratively across engineering, product, UX, and clinical teams. Comfortable working in a fast-paced startup with evolving requirements and ambiguity. Familiarity with deploying models in Azure environments preferred. Bonus Skills Strong grasp of state-of-the-art AI research and implementation of recent methods. Prior experience with clinical trial data and design is a significant advantage. Experience with ML libraries and tools such as PyTorch, Scikit-Learn, Pandas, Weights & Biases, MLflow, etc. Ability to communicate complex concepts through clear visualizations or non-technical explanations. Experience applying AI to sensitive or private datasets within secure deployments.

Enterprise Deployment – Statement of Work   Summary The client is a global medical technology company that specializes in developing and producing equipment and software for radiation therapy, radiosurgery, and oncology.  The client offers a range of software solutions designed to enhance the efficiency and effectiveness of radiation therapy and oncology treatment. Today, the client deploy their software via various methods offering on-premise and Cloud based solutions. Their approach to deploying and upgrading software is inconsistent and for some of our products it can be somewhat cumbersome, slow and prone to human error. The client are seeking an engagement with professionals that have extensive experience in deploying enterprise software into clinical environments to evaluate their current approach and bring proposals for a future state where software deployment is simplified, consistent and performed in accelerated timelines that delights customers.   The engagement expectations and requirements A fixed term contract with a highly experienced professional to transform and standardise the client software deployment strategy Work with key stakeholders across the client's organisation to evaluate the current client deployment approach across the software portfolio. Using best practice industry standards, make recommendations on how the client can evolve their product deployment strategy and processes to deploy software into clinical environments in a simplified, efficient and consistent manner with short term quick wins and longer-term transformational changes Relevant experience with enterprise software deployments such as SAP, Oracle or EMRs such as EPIC, Cerner Expertise in taking enterprise software payloads from on premises to public cloud platforms Act as a consultant to the client's engineering teams to advise on and support enterprise software deployment improvements The individual must be able to travel to various client office locations including Crawley – UK, San Jose – USA and Shanghai – China.