Scientific Lead - Health Data Research (f/m/x)

Aleph Alpha

OUR MISSION Aleph Alpha is one of the few companies in Europe doing serious foundation model pre-training. Our customers - in finance, manufacturing, public administration - need models that understand German, meet European regulatory requirements, and work reliably in high-stakes settings. We're building that in Heidelberg. We're growing our pre-training team and hiring someone to passionately work on data: defining what goes into our models, building the systems that source and prepare it, and ensuring our training team has the highest-quality data to push model capabilities forward. Team Culture At Aleph Alpha, we foster a culture built on ownership, autonomy, and empowerment. Teams and individual contributors are trusted to take responsibility for their work and drive meaningful impact. We maintain a flat organisational structure with efficient, supportive management that enables quick decision‑making, open communication, and a strong sense of shared purpose. About the role As a Senior AI Researcher for Pre-training Data, you will shape and improve the underlying scientific methodology behind our pre-training corpora while also co-engineering the software and systems that enable this. Working with engineers and other researchers to build scalable pipelines, you will focus on relevant theoretical and empirical research required to understand which data makes models perform best on our targeted capabilities. This role is for you if you have a strong background in large-scale language modeling and the scientific drive to answer complex questions about data scaling laws, synthetic data generation, and curriculum learning. In your day-to-day, you will design targeted ablations across various scales, derive and test hypotheses from training dynamics, develop novel algorithms for estimating data quality and performing data curation, and contribute to a range of engineering tasks which facilitate these research directions. Together with a collaborative team of engineers and researchers, you will have a direct impact on the fundamental knowledge and capabilities of the models we ship. You will also help or lead the writing of technical reports for internal and external readers, as well as presenting at and contributing to technical meetings and conferences on an as-needed basis. YOUR RESPONSIBILITIES * Innovation in Data-Centric AI: Stay at the bleeding edge of foundation model research. You will identify, implement, and iterate on novel approaches to estimating data quality, synthetic data generation, curriculum learning, and advanced curation techniques. * Data-to-Performance Science: Design and lead rigorous ablation studies across various scales. You will systematically analyse how changes in data composition, deduplication strategies, heuristic and model-based curation, and scaling laws affect training dynamics and target model and system capabilities. * Develop Novel Quality Signals: Move beyond basic perplexity filtering. Research and build advanced algorithms to score and select data, such as influence functions, gradient-based matching, or using smaller models to curate data for larger ones. * Cross-Functional Collaboration: Partner closely with a diverse team to scale your research from prototypes to trillions-of-tokens-scale pipelines, and work with the post-training team to ensure pre-training distributions effectively support targeted fine-tuning and customer-alignment. YOUR PROFILE Basic Qualifications * A deep understanding of machine learning theory, specifically regarding foundation model training dynamics, scaling laws, and data-centric AI. * Experience designing and evaluating complex ML experiments related to data composition, curriculum learning, or data quality on language model training. * Familiarity with statistical methods for evaluation and experiment design. * Ability to reason about the information-theoretic properties of a dataset and its predictive power for evaluated tasks: not just processing data, but understanding its signal. * Strong Python skills and comfort with ML tooling and deep learning frameworks (especially PyTorch). * Willingness to relocate to Heidelberg or travel at least fortnightly. Preferred Qualifications * PhD in machine learning, NLP, or equivalent research experience focusing on large-scale language modeling or data curation. * A history of contributions to top-tier venues (NeurIPS, ICML, ICLR, ACL, etc.) specifically regarding data curation, scaling laws, synthetic data, or LLM pre-training. * Experience training foundation models from scratch and diagnosing data-induced training pathologies. * Bonus, but not required: German language proficiency can be helpful for curating and assessing German-language data. COMPENSATION AND BENEFITS * Become part of an AI revolution! * 30 days of paid vacation * Access to a variety of fitness & wellness offerings via Wellhub * Mental health support through nilo.health * Substantially subsidized company pension plan for your future security * Subsidized Germany-wide transportation ticket * Budget for additional technical equipment * Flexible working hours for better work-life balance and hybrid working model * JobRad® Bike Lease

Man Group

About Man Group Man Group is a global alternative investment management firm focused on pursuing outperformance for sophisticated clients via our Systematic, Discretionary and Solutions offerings. Powered by talent and advanced technology, our single and multi-manager investment strategies are underpinned by deep research and span public and private markets, across all major asset classes, with a significant focus on alternatives. Man Group takes a partnership approach to working with clients, establishing deep connections and creating tailored solutions to meet their investment goals and those of the millions of retirees and savers they represent. Headquartered in London, we manage $228.7 billion* and operate across multiple offices globally. Man Group plc is listed on the London Stock Exchange under the ticker EMG.LN and is a constituent of the FTSE 250 Index. Further information can be found at www.man.com At Man Group, we respect your privacy and we are committed to protecting and safeguarding your Personal Data. We have developed policies and processes which are designed to provide for the security and integrity of your Personal Data. We are committed to Processing your Personal Data fairly and lawfully, and being open and transparent about such Processing. For further information on how we process your data, please see the privacy notice for applicants here * As at 31 March 2026   The Role As an Lead Quantitative Developer in the Front-office Engineering organization at Man Systematic, you will work closely with Quantitative Researchers and Portfolio Managers. Your challenges will be varied and may include onboarding new datasets, implementing new trading signals, developing portfolio optimization tools, building data visualization frameworks, enhancing our research platform, and performance tuning existing code using efficient numerical algorithms and cluster-computing solutions. As the local lead for our growing Front-office Engineering team in China, you will also be instrumental in hiring, onboarding, and shaping the team from the ground up.   Our Technology Our systems are almost all running on Linux and most of our code is in Python, with the full scientific stack: NumPy, SciPy, Pandas, statsmodels, and scikit-learn to name a few of the libraries we use extensively. We implement the systems that require the highest data throughput in Java. For storage, we rely heavily on MongoDB and MS SQL.  We use Control-M and Airflow for workflow management, Kafka for data pipelines, Bitbucket for source control, Jenkins for continuous integration, Grafana + Prometheus for metrics collection, ELK for log shipping and monitoring, Docker for containerisation, OpenStack for our private cloud, Ansible for architecture automation, and Slack for internal communication. Our technology list is never static: we constantly evaluate new tools and libraries.   Technology and Business Skills We strive to hire only the brightest, best and most highly skilled, passionate technologists.    Key Competencies Required * 5+ years of professional experience in software engineering, preferably with a focus on quantitative applications * Experience as a technical lead or people manager, encompassing both team development (hiring, building teams, and mentoring junior engineers) and project management (driving technical delivery) * Expert knowledge of Python and Pandas and proficiency with related scientific libraries including NumPy, SciPy, statsmodels, and scikit-learn * Experience developing mission-critical production systems, with knowledge of best practices for testing, monitoring, and deployment * Proficient on Linux platforms and strong understanding of Git * Working knowledge of one or more relevant database technologies, such as MS SQL, Postgres, or MongoDB * Demonstrated experience working with large data sets, both structured and unstructured Advantageous * Experience in quantitative software development within a front-office setting, such as at a hedge fund, proprietary trading firm, or investment bank * Experience building web applications using modern frameworks like React * Proficient with distributed computing technologies such as Spark, Dask, Kubernetes, Redis * Knowledge of modern data engineering practices including data pipeline & ETL tools, distributed storage & processing and data warehousing * Strong understanding of financial markets and instruments * Experience working with financial market data * Relevant mathematical knowledge e.g., statistics, time-series analysis   Personal Attributes * Strong academic record and a degree with high mathematical and computing content e.g., Computer Science, Mathematics, Engineering or Physics * Intellectually robust with a keenly analytic approach to problem solving * Self-organised with the ability to effectively manage time across multiple projects and with competing business demands and priorities * Focused on delivering value to the business with relentless efforts to improve process * Strong interpersonal skills: able to establish and maintain a close working relationship with quantitative researchers, portfolio managers, traders and senior business people alike * Confident communicator: able to argue a point concisely and deal positively with conflicting views   Working Here Man Systematic has a small company, no-attitude feel. It is flat structured, open, transparent and collaborative, and you will have plenty of opportunity to grow and have enormous impact on what we do.  We are actively engaged with the broader technology community. * We regularly talk at leading industry conferences across the globe * We host and sponsor Boston meetups and London’s PyData and Machine Learning Meetups * We open-source some of our technology, including our ultra-high-performance DataFrame database, ArcticDB. See https://github.com/man-group for a full list and more information. We believe that agile working allows us to deliver the best business outcomes for our clients and investors as well as having a positive impact on work-life balance and the wellbeing of our staff. We are simultaneously committed to “levelling the playing field” and believe that agile working promotes inclusivity across teams, regions and business units. In general, Technology roles are expected to be in the office for 3-4 days a week. However, the specifics can vary based on the role, team, and individual circumstances, and are ultimately subject to the manager’s discretion. We offer competitive compensation, a generous holiday allowance, various health and other flexible benefits. We are also committed to continuous learning and development via coaching, mentoring, regular conference attendance and sponsoring academic and professional qualifications. Inclusion, Work-Life Balance and Benefits at Man Group You'll thrive in our working environment that champions equality of opportunity. Your unique perspective will contribute to our success, joining a workplace where inclusion is fundamental and deeply embedded in our culture and values. Through our external and internal initiatives, partnerships and programmes, you'll find opportunities to grow, develop your talents, and help foster an inclusive environment for all across our firm and industry. Learn more at www.man.com/diversity. You'll have opportunities to make a difference through our charitable and global initiatives, while advancing your career through professional development, and with flexible working arrangements available too. Like all our people, you'll receive two annual 'Mankind' days of paid leave for community volunteering. Our comprehensive benefits package includes competitive holiday entitlements, pension/401k, life and long-term disability coverage, group sick pay, enhanced parental leave and long-service leave. Depending on your location, you may also enjoy additional benefits such as private medical coverage, discounted gym membership options and pet insurance. Equal Employment Opportunity Policy Man Group provides equal employment opportunities to all applicants and all employees without regard to race, color, creed, national origin, ancestry, religion, disability, sex, gender identity and expression, marital status, sexual orientation, military or veteran status, age or any other legally protected category or status in accordance with applicable federal, state and local laws. Man Group is a Disability Confident Committed employer; if you require help or information on reasonable adjustments as you apply for roles with us, please contact TalentAcquisition@man.com.

NLC Health Ventures

CEO (GENE THERAPY) XTRNA Location: Netherlands preferred, Europe-based with regular travel to Nijmegen Commitment: ~80% (approximately) Compensation: Primarily equity-based, modest base salary until fundraising Seniority: Founder/ leadership ABOUT THE VENTURE (XTRNA BIO) XtRNA Bio is a pioneering biotechnology company redefining how we treat rare genetic diseases through transfer RNA (tRNA) therapeutics. Originating from groundbreaking research at Radboud University and founded in collaboration with NLC Health Ventures, XtRNA Bio is translating cutting-edge RNA biology into a new class of medicines that repair disease at its molecular root. The lead program targets Charcot-Marie-Tooth disease type 2D (CMT2D), a severe neuromuscular disorder caused by mutations in the GARS1 gene. These mutations interfere with how motor neurons use tRNAs to make essential proteins, leading to progressive nerve damage. XtRNA Bio’s AAV-mediated tRNA therapy restores normal protein synthesis, directly addressing the underlying cause of disease. Preclinical studies have demonstrated strong proof of concept, showing potential to halt or even reverse neurodegeneration. While CMT2D is the initial focus, the tRNA platform has broad potential. Through two complementary approaches, elevating disease-relevant tRNAs and engineering suppressor tRNAs for nonsense mutations, it can target a wide range of genetic diseases caused by translational errors. This dual-modality approach places us among a select few companies globally advancing tRNA as a therapeutic modality. Supported by non-dilutive funding from the CMT Research Foundation and collaborations with world-leading scientists in the Netherlands and Germany, XtRNA Bio is now advancing toward IND-enabling studies. With strong science, early validation, and a mission-driven culture, XtRNA is building a biotech platform poised to transform RNA medicine, and bring new hope to patients with currently untreatable genetic diseases.   PURPOSE OF THE ROLE The CEO of XtRNA Bio will lead the company’s mission to transform advanced RNA science into therapies for rare genetic diseases. You will guide the venture from research to clinical development, shape its strategy, and drive the fundraising needed to achieve key milestones. This role calls for a leader who can unite scientific vision with business execution. You will inspire a high-performing team, build strategic partnerships, attract investors, and position XtRNA Bio as a pioneering force in RNA medicine.   RESPONSIBILITIES (XTRNA BIO) As CEO of XtRNA Bio, you will provide strategic and operational leadership to advance our pioneering tRNA therapeutic platform from research toward clinical development.  Key responsibilities include: * Lead the company’s overall strategy, growth, and fundraising, securing seed and Series A investment * Drive the scientific and clinical roadmap in collaboration with the CSO toward IND readiness for the CMT2D program while expanding the broader tRNA platform * Build and inspire a multidisciplinary team that combines scientific excellence with entrepreneurial focus * Establish strong partnerships with investors, academic collaborators, pharmaceutical partners, and patient foundations * Represent XtRNA Bio externally, communicating our vision, progress, and potential to the biotech and investment communities This role calls for a leader who can unite scientific insight, strategic execution, and purpose-driven leadership to position XtRNA Bio at the forefront of RNA-based medicine.   REQUIREMENTS (XTRNA BIO) To succeed as CEO of XtRNA Bio, you will bring a rare combination of scientific understanding, strategic leadership, and entrepreneurial drive. Qualifications * Advanced degree (PhD or MD) in Life Sciences, Biotechnology, Genetics, or a related field; business training (MBA or equivalent) is an advantage * Proven experience in leading or scaling biotech or pharmaceutical ventures (ideally within RNA therapeutics, gene therapy, or rare disease) * Demonstrated success in fundraising, including venture capital and strategic partnerships * Proven track record in strategic transactions, including co-development partnerships, M&A, or successful exits with biotech or pharmaceutical companies. * Track record of translating early-stage scientific innovation into clinical development and tangible company value * Strong scientific understanding of delivery technologies such as AAV capsids or related gene therapies and RNA biology and genetic disease mechanisms * Familiarity with regulatory pathways, translational medicine, and early clinical development for rare diseases * Entrepreneurial, hands-on, and comfortable operating in a dynamic, high-growth environment If you are driven by the opportunity to transform pioneering RNA science into therapies that change lives, we invite you to shape the future of XtRNA Bio with us. ABOUT NLC NLC Health Ventures is a leading healthtech and biotech innovation platform based in Amsterdam, combining venture building and fund management across Europe and North America. With 40-45 employees, NLC manages four captive funds investing in ventures from pre-seed to Series B-C, and is fundraising for a fifth fund. The funds have a diverse LP base and are invested in over 70 companies. NLC values a collaborative, open, and impact-driven culture, where team members’ ideas and contributions truly matter.