Why us?

We believe that AI has the potential to revolutionize how cancer and other complex diseases are diagnosed and treated. We also believe that AI is a tool, not an identity – without access to high quality data and a scientifically rigorous, transparent approach to model development, AI is just a buzzword. That’s where we come in.

Aignostics is a spin-off from one of Europe's largest and most prestigious university hospitals (Charité), with employees in Berlin and New York. We have received over $50M in funding from leading investors and are a growing team of over 100 interdisciplinary professionals. We work with academic partners as well as leading global life sciences companies.

As a Staff Computational Biologist at Aignostics, you will own how we process, model, and analyze various *omics data types, consult our Machine Learning teams on best practices from the field, and shape future directions of our company together with other technical leaders in the company. With your technical expertise, you will continuously improve approaches and processes for handling biological data and ensure highest scientific standards across teams and projects within the organization. In your daily work, you support our drug discovery and translational research teams and advance the state of the art in clinomics data integration.

You will work primarily on drug target identification for oncology but have strong cross-team impact by transferring learnings and best practices to other teams where you will harmonize and develop data processing pipelines, prototype models and analyses to gain scientific insights, and interact with key clients.

This is a unique opportunity to join a fun, diverse, and growing team of 100+ data scientists, software developers, biologists, and pathologists to shape the next generation of cancer treatments. You will be part of a driven community that works in an agile, supportive and interdisciplinary research environment where your results make a difference to patients. In our established startup you have the opportunity to grow personally and technically, take responsibility and benefit from a dynamic work environment.

At Aignostics, we believe that fighting cancer is a job for people of all identities, backgrounds, and cultures. We value and celebrate diversity and inclusion and are committed to offering equal employment and promotion opportunities for all applicants and employees. Applicants will be considered regardless of their age, disability, ethnicity, race, gender identity or expression, sexual orientation, religion, etc. We thrive through collaboration and believe the more inclusive we are, the better our work will be.

Where your expertise is needed

• Own our various *omics data processing pipelines within our code ecosystem, continuously improving and harmonizing them. Contribute to developing Python-based pipelines for processing proteomic, genomic, transcriptomic, and epigenetic data at large scale

• Consult our drug discovery and translational research teams in best practices, feasibility of computational Biology analyses, and presentation of biological data

• Elevate insights from machine learning models into concrete biological hypotheses that you validate in-silico , leveraging public and proprietary data sources

• Educate and mentor team members on latest advances in the field and continue to be up to date on advances in computational Biology methodology for oncology research

What we are looking for

• Ph.D. or MSc. in computational Biology/Bioinformatics

• 3+ years of relevant experience in industry settings, either biotech or pharmaceutical industry

• Proven track record of publications in computational oncology

• Advanced skills in Python and R, ability to prototype analyses and solutions effectively

• Passion for highest scientific standards and the ever-evolving field of computational oncology

• Broad multi-omics expertise (DNA, RNA (incl. scRNAseq, spatial transcriptomics), CRISPR, ChIP-seq, methylation, proteomics), established experimental techniques and fit for purpose statistical analyses

• Experience with latest *omics technologies (scRNAseq, spatial transcriptomics) and established experimental techniques

• Multi-omics data integration and contribution to scientific strategy of biological knowledge generation from omics data

• In-depth knowledge of cancer biology and genetics

• Excellent communication for broad audiences, teamwork, and data visualization skills

• Strong learning agility and scientific rigor

Bonus points for:

• Familiarity with fundamental machine learning concepts

• Experience with multimodal machine learning

• Familiarity with cloud infrastructures (AWS, GCP).

We are still keen to hear from you if you don't match all the above points! Our needs are diverse and growing and you are encouraged to apply if you have any combination of these skills. The recruitment process is a comparative exercise and decisions will be made based on the applications we review at each time.

Our offer

• Join a purpose-driven start up: We are working collectively to fight cancer and improve patient outcomes. Come help us make a difference!

• Cutting-edge AI research and development, with involvement of Charité, TU Berlin and our other partners

• Work with a welcoming, diverse and highly international team of colleagues

• Opportunity to take responsibility and grow your role within the startup

• Expand your skills by benefitting from our Learning & Development budget, language classes and internal development programs

• Mentoring program, you’ll learn from great experts

• Flexible working hours and teleworking policy

• Enjoy your well-deserved time off within our 30 paid vacations days per year

• We are family & pet friendly and support flexible parental leave optionsAll

• Pick a subsidized membership of your choice among public transport, sports and well-being

• Enjoy our social gatherings, free lunches, and off-site events for a fun and inclusive work environment

• Optional company pension scheme

Join us to make a difference!

Department

Data Science

Role

Staff Computational Biologist

Locations

Berlin

Remote status

Hybrid

Employment type

Full-time