Senior Data Scientist – Statistical Genetics

Relation Therapeutics

ABOUT RELATION Relation is a sector defining TechBio company developing transformational medicines, with technology at our core. Our ambition is to understand human biology in unprecedented ways, discovering therapies to treat some of life’s most devastating diseases. We leverage single-cell multi-omics from patient tissue, functional assays, and machine learning to drive disease understanding, from cause to cure. We are scaling rapidly and building a team of exceptional individuals to push the boundaries of drug discovery. You will work in highly interdisciplinary teams where biology, computation, and engineering come together to solve complex problems that have not been solved before. Our state-of-the-art wet and dry labs in the heart of London are designed to accelerate this integration and translate insight into impact. We are committed to building diverse and inclusive teams. Relation is an equal opportunities employer and does not discriminate on the basis of gender, sexual orientation, marital or civil partnership status, gender reassignment, race, colour, nationality, ethnic or national origin, religion or belief, disability, or age. By joining Relation, you will help define how medicines are discovered and deliver meaningful impact for patients. THE OPPORTUNITY This is a unique opportunity for a senior data scientist to work on DNA sequence modelling, statistical machine learning, and functional genomics in support of target discovery and mechanism elucidation. You will develop and apply computational models that connect genetic variation and regulatory DNA sequence to downstream molecular phenotypes, cellular programmes, and disease biology. Embedded within the Rosalind team you will build and evaluate models that link sequence to function - including variant effect prediction,regulatory activity modelling and representation learning for genomic data. DAY TO DAY YOU WILL: * Develop and implement machine learning models for DNA sequence, regulatory elements, and genetic variation in disease-relevant contexts. * Build, evaluate and benchmark models for sequence-to-function tasks such as variant effect prediction, regulatory activity prediction, and the interpretation of non-coding disease signals. * Integrate sequence-derived representations with transcriptomic, epigenomic, and perturbational datasets to uncover disease mechanisms and support target prioritisation. * Partner closely with experimental and machine learning researchers to validate hypotheses, interpret results, and guide downstream studies. * Communicate findings clearly to internal stakeholders, including presenting methods, results, and recommendations. * Contribute to publications, scientific communications, and project documentation, supporting scientific excellence and external visibility. PROFESSIONALLY, YOU WILL HAVE * PhD in computational biology, machine learning, statistics, genomics, bioinformatics, or a related quantitative discipline. * Post-PhD experience, ideally including time in an industry, biotech, or pharmaceutical environment. * Experience with DNA language models, genomic foundation models, or transformer-based sequence models. * Understanding of statistical machine learning and probabilistic modelling, with experience selecting and evaluating appropriate modelling approaches for complex biological datasets. * Knowledge of statistical genetics methods (e.g fine-mapping, colocalisation,, or variant to gene approaches). * High proficiency in Python (preferred) and R, with experience working in high-performance computing environments. * Ability to operate independently, driving projects from concept through delivery. * Bonus experience: * Familiarity with single-cell transcriptomics or patient-derived datasets. * Experience working in interdisciplinary teams within biotech or pharma settings. * Experience integrating machine learning models with genomics, single-cell, or perturbation datasets. * Familiarity with 3D genome / chromatin interaction data where relevant (Hi-C, Capture-C, etc.). PERSONALLY, YOU: * Are comfortable working in a matrixed environment, balancing multiple stakeholders and contributing effectively across teams. * Take ownership of your work, proactively seek opportunities to contribute, and enable others to do their best work. * Communicate openly and directly, give and receive feedback constructively, and handle challenging conversations with respect. * Actively seek out diverse perspectives, build strong working relationships, and contribute to shared goals across teams. * Embrace challenges with openness and resilience, set high standards for yourself, and strive to deliver meaningful outcomes. WORKING STYLE & CULTURE AT RELATION At Relation, we operate in a matrixed, interdisciplinary environment, where impact is driven through collaboration across scientific, technical, and operational domains. We collaborate, and you will partner with colleagues across multiple teams and projects, contributing your expertise while aligning to shared company priorities. We work together and win together! The patient is waiting! RECRUITMENT AGENCIES: Please note that Relation does not accept unsolicited resumes from agencies. Resumes should not be forwarded to our job aliases or employees. Relation will not be liable for any fees associated with unsolicited CVs. Relation is a committed equal opportunities employer.

Gram Games

Who We Are: Gram Games is the studio behind popular titles like 1010!, Six!, Merge Dragons!, and Merge Magic!, with more exciting projects in the pipeline. We are proudly part of the Zynga & Take-Two Interactive family. We do things differently here: we work in small self-managing teams, giving you an incredible amount of ownership, autonomy, and impact.  At Gram, everyone is expected to have a razor-sharp focus on creating a tangible impact on their team, their work environment, and on the overall company strategy. If you are motivated by autonomy, constant improvement, collaboration, and a sense of belonging, this is the place for you. POSITION OVERVIEW: We are seeking a highly skilled and experienced Principal Game Economist to join our team in London. Reporting directly to the Director of Economy and working closely alongside another Lead Economist, you will operate as a centralized expert resource across three different studios. Unlike traditional game economy roles focused on a single title, you will lead economic strategy and systems design on a project basis, supporting various games across our extended portfolio. While this is a high-level Individual Contributor role with no direct reports, your leadership impact will be massive. You will analyze each game, identify key opportunities and challenges, and build sustainable solutions while elevating our internal economy practices. You will establish best practices, develop robust frameworks, and mentor embedded game teams so they can eventually own and manage their economies independently. This role is highly strategic and deeply hands-on: blending advanced research, complex system design, cross-studio collaboration, and technical mentorship. At Gram we embrace a hybrid work environment. Within this role, you would work 2 days per week in our London office and the remaining days at home. WHAT YOU'LL DO: You aren't just working on one game; you are a key economic architect across three studios. You will step into different projects to diagnose economic health, design robust pricing and reward systems, and empower local teams to execute your designs. * Drive Cross-Studio strategy: Serve as the shared expert supporting multiple games across distinct studios. You will take ownership of the economic design phase for targeted projects, identifying gaps and implementing tailored solutions to drive engagement and business performance. * Collaborate at the highest level: Work in tandem with another Lead Economist and report directly to the Director of Economy to align on portfolio-wide strategies, tackle complex systemic challenges, and ensure consistent design standards across all studios. * Mentor and Empower teams: Act as a technical leader and mentor for game-level economy designers and PMs. While you won't have direct reports, you will lead through influence, training internal teams on advanced economic frameworks and ensuring they have the tools to manage their game's economy long-term. * Design and simulate: Leverage your quantitative expertise to build complex predictive models, run simulations, and design A/B tests that validate your design decisions and forecast the impact of new features. * Bridge the gap globally: Drive cross-functional efforts with Product Managers, Data Scientists, and Engineers across different teams and geographies, acting as a technical bridge to ensure seamless execution from concept to live ops. WHAT YOU BRING: * A Bachelor's or Master's degree in Economics, Math, Statistics, or a related quantitative field, paired with a proven track record of designing and optimizing complex game economies at a senior or lead level. * Advanced analytical skills with a "must-have" mastery of Excel. Experience with SQL, R, or Python is a significant advantage for deep-dive research and modeling. * Demonstrated ability to drive strategic initiatives and upskill junior or mid-level talent across multiple studios or departments without formal reporting lines. You excel at matrix leadership and cross-functional collaboration. * A deep-seated interest in Free-to-Play mechanics and a sophisticated understanding of how to balance player experience with sustainable monetization. BONUS POINTS: * Additional background in Monetization strategy to complement your economic expertise. * Experience working on large-scale online, social, or multiplayer games. What We Offer You: * Highly competitive salary * Private medical care * Company bonus scheme * Relocation assistance for those moving to the UK * Awesome onsite chef serving breakfast, lunch, and lots of treats (naughty and nice) * Life insurance and a favorable pension scheme * Healthcare cash plan including dental and optical coverage * Amazing tech to work with and consoles to play and relax with everywhere you look! #LI-Hybrid We are proud to be an equal opportunity employer, which means we are committed to creating and celebrating diverse thoughts, cultures, and backgrounds throughout our organization.  Employment with us is based on substantive ability, objective qualifications, and work ethic – not an individual’s race, creed, color, religion, sex or gender, gender identity or expression, sexual orientation, national origin or ancestry, alienage or citizenship status, physical or mental disability, pregnancy, age, genetic information, veteran status, marital status, status as a victim of domestic violence or sex offenses, reproductive health decision, or any other characteristics protected by applicable law. As an equal opportunity employer, we are committed to providing the necessary support and accommodation to qualified individuals with disabilities, health conditions, or impairments (subject to any local qualifying requirements) to ensure their full participation in the job application or interview process. Please contact us at jobs@gram.gs to request any accommodations or for support related to your application for an open position. Please be aware that Zynga does not conduct job interviews or make job offers over third-party messaging apps such as Telegram, WhatsApp, or others.  Zynga also does not engage in any financial exchanges during the recruitment or onboarding process, and will never ask a candidate for their personal or financial information over an app or other unofficial chat channel.  Any attempt to do so may be the result of a scamp or phishing attack, and you should not engage.  Zynga’s  in-house recruitment team will only contact individuals through their official Company email addresses (i.e., via a zynga.com, take2games.com, naturalmotion.com, smallgiantgames.com, themavens.com, gram.gs email domain).

Goodnotes

At Goodnotes, we believe that every individual holds untapped potential waiting to be unleashed. By reimagining the way we interact with information, we’re merging human creativity with the breakthrough capabilities of AI. Our renewed vision and mission drive us to create the best medium for human and AI collaboration, empowering users to explore new dimensions of productivity, creativity, and learning. Join us on this journey as we transform digital note-taking into an inspiring and innovative experience. OUR VALUES Dream big * Be visionary, strategic, and open to innovation Build great things * Work in service of our users, always improving and pushing higher Operate like an owner * Take responsibility with bold decision-making and bias for action Win like a sports team * Be trusting and collaborative while empowering others Learn and grow fast * Never stop learning and iterate fast Share our passion * Share ideas and practice enthusiasm and joy Be user obsessed * Empathetic, inquisitive, practical ABOUT THE ROLE Think of this as a startup within Goodnotes. You'd be embedded in one of our 0-1 product bets -working directly with Steven, our founder, and a small, fast-moving team building something genuinely new inside Goodnotes' AI-native product line. No legacy roadmap, no established playbook. You're helping write the first one. You'll be the analytical partner for that product: quantifying how features move the business, building the experimentation and instrumentation that lets the team measure impact from day one, and turning ambiguous, undefined problem spaces into clear questions and confident decisions. In a 0-1 environment, that clarity is the difference between shipping the right thing and guessing. You'll combine analytical precision with product intuition - designing experiments, uncovering the behavioural drivers behind conversion, activation, and retention, and connecting product metric movements straight back to revenue. Crucially, you won't just do the analysis. You'll build the frameworks, playbooks, and self-serve capability that let the product team answer their own questions — the kind that hold up when you're not in the room. Removing analytics as a bottleneck isn't a side goal here. It's part of the job. * This role is based full-time onsite at our London (Paddington) office * This role is a fixed term contract of 1 year THIS IS THE ROLE FOR YOU IF YOU'RE EXCITED TO WORK ON: * Defining success metrics & sizing opportunities: Partner with GTM, Product, and Engineering to set success metrics, size opportunities, and connect product metrics to revenue — ensuring every team knows what "good" looks like. * Building the experimentation practice: Design and analyze experiments with statistical precision, standardize how experiments run across squads, and help the organization move from opinion-driven to evidence-driven decisions. * Owning instrumentation & measurement quality: Work with Engineering on tracking plans and event taxonomy so features are measurable before they ship, not retrofitted after. * Turning behavior into insight: Run deep-dive analyses on funnels, cohorts, activation, and retention, and translate findings into actionable recommendations that drive product and business outcomes. * Enabling teams to self-serve: Teach PMs and product leaders to read experiment results and governed reporting with confidence. Build frameworks others can adapt and extend — reducing the analytics team as a bottleneck. * Shaping the agenda: Proactively surface the questions the product organization should be asking before they're asked, and know when a finding is sufficiently reliable to drive action. * Defining good enough: knowing when a finding is sufficiently reliable to drive action, avoiding the trap of pursuing endless granular accuracy. THE SKILLS YOU WILL NEED TO BE SUCCESSFUL: * Significant experience of product analytics in a PLG SaaS, marketplace, or transactional environment. You understand funnels, retention curves, user lifecycle, and how product metrics connect to revenue. * Deep experimentation experience. You’ve designed and analysed experiments, and you know the common failure modes (peeking, underpowered tests, bad randomisation, metric gaming) and how to design around them. * Strong instrumentation and data governance instincts. You’ve defined tracking plans, and worked with engineering teams on event taxonomy. * Experience working in AI-native product orgs. You’ve gone past chatting with Claude/ChatGPT to building proactive agentic workflows that scale insights discovery and delivery with minimal human intervention. * Strong SQL plus Python and/or R – you write queries and build analyses yourself, regularly. * A track record of building frameworks others adapt and extend. You make teams smarter, not just yourself heard. * Excellent communication, you adapt your altitude to the audience * Comfort operating in ambiguity with autonomy. * Familiarity with dbt, semantic/BI layer, and governed self-serve stacks (Hex, LightDash, Looker, or similar) PREFERRED: * Experience in productivity SaaS businesses * Familiarity with dbt, semantic/BI layer, and governed self-serve stacks (Hex, LightDash, Looker, or similar) * Causal inference methods beyond A/B tests * Experience implementing experimentation platforms (e.g. Statsig, Eppo or in-house) * Familiarity with product analytics tools (Amplitude, Mixpanel, Firebase, or similar) THE INTERVIEW PROCESS: * Talent Intro Call: A conversation with our Talent Acquisition team to dive into your experience, what motivates you, and why you're interested in joining Goodnotes. * Hiring Manager Interview: A deeper dive into your professional background, your preferred ways of working, and the specific impact you'll have within the team. * AI Literacy: As an AI-first company, we'll meet with one of our AI champions to discuss your curiosity, understanding, and practical use of AI tools in your daily workflow. * At-Home Case Study: A take-home exercise to help you prepare for your live Role-Specific Assessment — you'll receive this in advance so you can work through it at your own pace. * Role-Specific Assessment: A live session building on your case study, focused on the core technical and functional skills required for the role. This is your chance to walk us through how you tackle real-world challenges. This will take place onsite in our Paddington office. * Values Based Panel Interview: A conversation with 2–3 team members centered on our company values. We'll discuss past experiences to see how your approach aligns with our culture. WHAT'S IN IT FOR YOU: * Customized Growth & Wellness Budgets: We provide dedicated stipends for the things that keep you at your best, including noise-canceling headphones for deep focus, professional training, personal development, and health and wellness activities. * Global Connectivity: While we embrace flexible work, we love seeing each other. We provide sponsored visits to our beautiful office locations to foster face-to-face collaboration. * Company-Wide Offsites: Once a year, we gather the entire global team in person to celebrate our wins, align on our vision, and build lasting connections. * Comprehensive Health Coverage: Your well-being is our priority. We offer premium medical insurance for you and your dependents to ensure peace of mind for your whole family.   Goodnotes is committed to fostering a diverse, inclusive, and equitable workplace. We welcome applications from individuals of all backgrounds, identities, and experiences, making all employment decisions based strictly on merit, qualifications, and business needs.   Note: Employment is contingent upon successful completion of background checks, including verification of employment, education, and criminal records. By submitting your application, you acknowledge that you have read and understood our Candidate Privacy Notice, which provides important information about the data we collect during the application process. You can find it here.