Technical Lead, Product

Bioptimus

Bioptimus is building the first universal AI foundation model for biology to fuel breakthrough discoveries and accelerate innovation in biomedicine. With more than $75M in funding, Bioptimus is a fast-growing start-up headquartered in Paris, incorporated in October 2023. Backed by leading international venture capitalists, our world-class team of scientists and engineers is redefining the frontiers of AI and life sciences.  CLINICAL DATA MANAGER (SENIOR) Bioptimus’ mission is to accelerate biomedical innovation by building the reference foundation model of biology that will unlock AI superpowers for the biomedical ecosystem. As a well-funded and fast-growing start-up headquartered in Paris and incorporated in October 2023, we are growing a world-class team of scientists, engineers, and product leaders. This is a remote role. We’re headquartered in Paris, but the position can be performed remotely outside of Paris. ABOUT THE ROLE We are looking for a technical, execution-focused Clinical Data Manager to bridge the gap between unstructured, real-world data, and our frontier AI models. In this role, you will be the authority on clinical data structures, serving as the technical link during conversations with our global partners to standardise and harmonise data pipelines. Operating within our STELA program, you will structure our clinical datasets. You are a hands-on technical expert who writes reproducible code, enforces incoming data QC, and designs the data dictionaries and ontologies for our models. ABOUT THE STELA PROGRAM We recently launched the Spatial Tissue Embedding Learning Atlas (STELA)—a multinational spatial data generation initiative anchored by strategic partnerships with 10x Genomics and Broad Clinical Labs. STELA serves as the data backbone for M-Optimus, aiming to profile up to 100,000 patient specimens across three continents (US, Europe, and Asia). This will integrate high-resolution spatial transcriptomics, histopathology imaging, and longitudinal clinical records to bring forward the next era of biological AI and precision medicine. WHAT YOU'LL BE DOING ---------------------------------------------------------------------------------------------------------------------------------- As our Clinical Data Manager, you will operate at the intersection of data engineering, clinical science, and partner collaboration across two strategic domains: PARTNER DATA ENGINEERING & COLLABORATION * Technical Partner Interface: Participate directly in technical conversations with external partners (hospitals, research institutions, CROs/CMOs). Dive into the details of diverse clinical data structures to understand how data is captured, stored, and extracted. * Order from Uncertainty: Translate ambiguous source data into harmonized, AI-ready assets. * Ontology Integration: Map and align diverse clinical data to industry-standard biomedical ontologies (e.g., SNOMED, ICD, etc…) with an emphasis on clinical oncology and immunology data. DATA GOVERNANCE, QUALITY, AND AUTOMATION * Data Dictionary Architecture: Design, build, and maintain data dictionaries, schemas, and metadata models that align with STELA’s multimodal pipeline requirements, while ensuring integration with existing pipelines. * Enforcing Ingest Quality: Establish, automate, and enforce data quality control (QC) and validation frameworks to check incoming partner data for integrity, completeness, and programmatic consistency. * Reproducible Pipeline Code: Write production-grade Python code to automate data cleaning and harmonization tasks. CLINICAL REALITY & INTUITION * Clinical Reality: Practical understanding of how clinical data is generated in the real world (hospitals, trials, CROs). You understand the gaps between ideal protocols and messy clinical realities, and you know what red flags to look for in incoming data. * The Investigative Mindset: You know what questions to ask partners to get to the "ground truth" of their data structures. Actively audit data to find missing variables, anomalies, and hidden biases. * Oncology/Immunology Domain Knowledge: Familiarity with cancer progression metrics (e.g., RECIST criteria, TNM staging, longitudinal treatment lines like immunotherapy vs. chemotherapy) so you can recognize what data is important.   WHAT YOU'LL BRING ---------------------------------------------------------------------------------------------------------------------------------- The successful candidate will have a ‘team-first’ attitude; be independent, curious, and detail-oriented; thrive in a dynamic, fast-paced environment; and be fun to work with. You possess the rare ability to confidently lead complex technical alignment meetings with partners while simultaneously being excited to roll up your sleeves and write code. TECHNICAL & PROFESSIONAL QUALIFICATIONS * Educational Background: Bachelor’s or Master’s degree in Life Sciences, Bioinformatics, Health Informatics, Computer Science, Statistics, or a related quantitative field. Equivalent practical industry experience is highly valued. * Industry Experience: A few years (typically 3–5+) of hands-on experience in clinical data management or clinical data engineering within a CRO, CMO, pharma, or biotech environment. Proven track record of taking messy partner data and building reproducible, production-grade workflows. * Hands-on Coding Skills: High proficiency in Python and standard data science libraries (e.g., Pandas, NumPy) for data manipulation, cleaning, and validation. * Software Best Practices: Demonstrated commitment to code reproducibility, including strong experience with Git version control and building reusable data pipelines. * Clinical Data Expertise: Familiarity with clinical data structures, electronic health records (EHR), case report forms (CRFs), and longitudinal clinical trial data. * Ontologies & Vocabularies: Knowledge of standard clinical and biological ontologies, specifically those tailored to cancer/oncology and/or immunology datasets. PARTNERSHIP & EXECUTION SKILLS * Communication & Alignment: Ability to align on data delivery formats with a partner clinical teams. * Start-up experience: Comfort working in a fast-paced startup environment where data schemas evolve and ingest requirements must be defined from scratch.   HOW TO STAND OUT ----------------------------------------------------------------------------------------------------------------------------------   * Experience with cloud computing platforms (AWS, GCP, etc…) * Experience working directly with multimodal datasets (e.g., matching clinical records with omics or digital pathology imaging). * Understanding of CDISC standards (SDTM/ADaM) combined with a modern tech-stack approach (beyond legacy SAS programming). * Experience building or optimizing ETL pipelines for large-scale biobanks or multinational clinical consortia.   THE CANDIDATE JOURNEY ---------------------------------------------------------------------------------------------------------------------------------- To be considered, please submit your CV in English. We believe in a transparent and collaborative interview process. Here is what you can expect after submitting your application:   * Screening: A 30-minute introductory call with the Hiring Manager to discuss your background, motivations, and the position in more detail. * Interviews: Following a successful screening, you will be invited to a series of interviews: 1. Data Strategy Panel Presentation (45 min): You will present a short overview of a past data management challenge you overcame (e.g., designing a complex data dictionary or aligning messy CRO data), followed by Q&A. 2. Technical Deep Dive (30 min) - There will be 1 additional break out session to do a deep dive with 1-2 Bioptimus Engineers 3. Executive Interview (30 min): A discussion with member(s) of our Senior Leadership focusing on long-term vision, cultural fit, and mutual potential. * Offer: Following the completion of all interviews, our hiring team will make a final decision. Please note that an offer is contingent upon the successful completion of a reference check. * Onboarding: Welcome to the team! We will begin your onboarding to get you fully integrated at Bioptimus!   WHY THIS IS A UNIQUE OPPORTUNITY ----------------------------------------------------------------------------------------------------------------------------------   * Join a mission-driven team redefining biology through AI. * Work in a collaborative, high-autonomy, high-impact environment. * Contribute to pioneering research, infrastructure, or strategy at the ground floor. * Competitive compensation, equity, and flexibility (remote options). * Help shape the scientific and technical culture of a category-defining company. ----------------------------------------------------------------------------------------------------------------------------------   We believe that the unique contributions of all Bioptimists create our success. To ensure that our culture continues to incorporate everyone’s perspectives and experience, we never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, or disability status. Decisions related to hiring are made fairly, and we provide equal employment opportunities to all qualified candidates. We take responsibility for always striving to create an inclusive environment that makes every employee and candidate feel welcome.

Bioptimus

Bioptimus is building the first universal AI foundation model for biology to fuel breakthrough discoveries and accelerate innovation in biomedicine. With more than $75M in funding, Bioptimus is a fast-growing start-up headquartered in Paris, incorporated in October 2023. Backed by leading international venture capitalists, our world-class team of scientists and engineers is redefining the frontiers of AI and life sciences.  THIS IS A REMOTE ROLE. WE’RE HEADQUARTERED IN PARIS, BUT THE POSITION CAN BE PERFORMED REMOTELY OUTSIDE OF PARIS. THE OPPORTUNITY We are looking for a Clinical Expert to support Bioptimus’ clinical and scientific strategy for digital twin and data generation programs. In this role, you will work closely with the science, data, and partnerships teams to support clinical prioritization, scientific interpretation, academic collaborations, and pharma engagement across our research programs. You will contribute clinical and translational expertise to help identify the most important clinical questions and modalities to focus on, support the interpretation of model outputs, and advise on partnerships and research programs aligned with Bioptimus’ data and scientific goals. This is a part-time engagement with the possibility of becoming full-time. WHAT YOU'LL BE DOING As a Clinical Expert, you will own the following tasks: * Clinical Strategy: Support the identification of the most important clinical questions and modalities to prioritize across training and validation cohorts. Provide clinical input on tissue, drug class, disease, and modality prioritization. Support the selection of clinical metadata, endpoints, and patient-level annotations required to maximize downstream model utility. Identify and prioritize clinically relevant tasks including response prediction, toxicity prediction, biomarker discovery, indication expansion, and trial enrichment. * Scientific Interpretation: Provide clinical and biological review of model outputs and scientific results. Work closely with the science team to support results review and contribute to external-facing scientific narratives. Translate model behavior into clinically credible language for pharmaceutical, key opinion leader, and regulatory audiences. * Data & Academic Partnerships: Support connections with academic investigators running relevant clinical studies, including early-phase studies, novel-agent programs, immuno-oncology programs, and multimodal cohorts. Advise on academic partnership structures that align research collaborations with Bioptimus’ data needs, including retrospective and prospective studies. * Pharma Engagement: Support discussions with pharmaceutical R&D teams where relevant. Advise on the positioning of model claims for translational medicine and clinical development audiences. WHAT YOU'LL BRING The successful candidate will bring deep clinical and translational expertise, strong scientific judgment, and enthusiasm for working in a collaborative and fast-paced environment. We value individuals who combine clinical research experience with genuine interest in emerging machine learning approaches in biology. * Clinical Research Experience: MD/PhD with active or recent Principal Investigator experience designing and analyzing clinical studies, particularly studies involving translational endpoints, biomarker sub-studies, and multimodal cohorts. * Onco-Immunology Expertise: Deep expertise in onco-immunology, including IO mechanisms, response and resistance biology, tumor microenvironment biology, IO combinations, and understanding of pharmaceutical pipelines and unmet clinical needs. * Machine Learning & Multimodal Biology Interest: Working understanding of and genuine interest in machine learning and foundation model approaches applied to pathology, transcriptomics, and multimodal data integration. * Collaboration & Communication: Ability to work closely with scientific, clinical, and external stakeholder groups. Strong communication skills with the ability to contribute to scientific discussions and external-facing narratives. Comfortable operating in a startup environment with ambiguity and evolving priorities. HOW TO STAND OUT: * Pharma R&D experience through an industry role or substantive pharmaceutical collaboration history. * Existing academic or hospital network in onco-immunology. * Experience designing and analyzing studies involving translational endpoints, biomarker sub-studies, or multimodal cohorts. * Familiarity with ML or foundation model approaches in pathology, transcriptomics, or multimodal biology. THE CANDIDATE JOURNEY To be considered, please submit your CV in English. We believe in a transparent and collaborative interview process. Here is what you can expect after submitting your application: 1. Screening: Once you have applied, the hiring team will review your application to determine if your work experience and skills align with the necessary proficiencies of this position. 2. Hiring Manager (30 min): A discussion with the Hiring Manager focused on your clinical and translational research background, scientific expertise, and motivation for collaborating with Bioptimus. 3. Strategic Case Study Discussion (60 min): A collaborative discussion with members of the scientific and technical teams focused on clinical strategy, translational medicine, multimodal biology, and the application of foundation models in oncology and immunology. 4. Offer: Following the completion of the interviews, our hiring team will make a final decision and will be in touch to share the outcome of your interviews. If the team would like to move forward, the recruiter will discuss the details of our proposed offer with you. 5. Onboarding: We are happy to have you joining the team. Once you have accepted and signed your offer, we will be in touch to begin the process of onboarding you to Bioptimus. WHY THIS IS A UNIQUE OPPORTUNITY * Be part of a trailblazing team working at the intersection of AI, biotech, and biomedical research. * Take on a high-impact leadership role, shaping the future of biomedical AI through strategic data partnerships. * Work in a collaborative, innovation-driven environment with top researchers and industry experts. We believe that the unique contributions of all Bioptimists create our success. To ensure that our culture continues to incorporate everyone’s perspectives and experience, we never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, or disability status. Decisions related to hiring are made fairly, and we provide equal employment opportunities to all qualified candidates. We take responsibility for always striving to create an inclusive environment that makes every employee and candidate feel welcome.

Tata Technologies Nordics AB

At Tata Technologies we make product development dreams a reality by designing, engineering and validating the products of tomorrow for the world’s leading manufacturers. Due to our continued growth, we are now recruiting for a Technical Lead to strengthen our team in Gothenburg, Sweden. The role We are seeking a skilled Fault Tracer, responsible for first-hand fault investigation, troubleshooting, and technical coordination. This role focuses on identifying, classifying, and resolving faults across multiple environments such as Hardware-in-the-Loop (HIL) setups and vehicle systems. Key Responsibilities Perform first-line fault tracing and troubleshooting in HIL and vehicle environments. Analyze issues and classify root causes (e.g., hardware, software, or system/setup-related). Generate detailed fault reports with logs, findings, and technical insights. Utilize debugging tools to capture and analyze system behavior and logs. Support software download and flashing activities on Devices Under Test (DUT) using debuggers. Coordinate with cross-functional teams to ensure timely resolution of faults. Required Qualifications Strong knowledge of CAN communication and UDS (Unified Diagnostic Services). Good understanding of inverter systems in automotive applications. Hands-on experience with debugging tools, especially Lauterbach Trace32. Proven experience in testing and troubleshooting embedded systems. Proficiency with Vector tools such as CANoe and CANalyzer. Preferred (Meritorious) Skills Experience in the automotive industry, preferably with OEMs such as Volvo Cars. Familiarity working with Tier 1 and Tier 2 suppliers. Swedish Driving License – B, is added Plus If you are passionate about bringing innovation to the projects you work on and want to join a global company, then this is the place for you. Tata Technologies: Engineering a better world. Tata Technologies would like to thank all applicants for their interest; each application will be reviewed against the set criteria for the role. We would like to advise that only candidates under consideration will be contacted. If you do not hear from us within 10 working days following the closing date, it will mean that unfortunately your application has not been successful. We will however retain your details for any suitable future opportunities.