Data Solution Architect in Galaţi

At Lifebit (Permanent), in London, United KingdomSalary: £35.000 - £75.000Expires at: 2022-06-29Remote policy: Full remoteAt Lifebit, we carve our own path. We're open-source pioneers and our driving mission is to revolutionise bioinformatics and biomedical data analysis forever.Our product, Lifebit CloudOS, is the world’s first federated genomics platform for unified, secure research over distributed big data. No one has anything close. Think best-in-class UI/UX, seamless integration with open-source tools, powerful cohort browser, advanced AI. We’re leading the industry and leaving competitors in the dust. We intend to keep it that way.While we know our technology is unmatched, we also know we can keep making it greater without an exceptionally strong team to help take it to incredible new heights. (We’ve got some really big plans afoot...).If you share our commitment to open source, bioinformatics, big data, Machine Learning, and AI we want to hear from you today.As a Data Solution Architect in our team, you will spend time between supporting our business team, improving our data standardisation offer and building ETL pipelines. In the team, you will:Business support tasks (70%):Provide clinical and genomic data solutions to clientsSupport the business team with client demos, presentations and tendersEngage with Lifebit clients and keep them excited about our products and servicesGather insights and experiences from every project and client to feed it to the rest of the teamHelp and train team members and collaborators working with Lifebit products and servicesTechnical tasks (30% time):Drive integration of the platform with common data models (e.g. OMOP)Main synthetic data datasetsBuild and understand ETL/data ingestion pipelinesProvide upgrades, patches and maintenance of ETL pipelinesProvide professional data support assistance Main requirementsWe are looking for a pioneering Data Solution Architect to join our team today. The role requirements below are just an indication of what we’re looking for - sometimes the perfect candidate is far more or less experienced than we anticipated. If you think that might be your case, please reach out and let us know!You have demonstrable knowledge and experience in data science and have a strong business acumen, specifically you have experience in:2+ years experience working with Python and/or R2+ years experience in OMOP ETL and mappingProficient in GitHub/GitProblem-solving attitude and customer-orientedStrong business acumen and interestHave strong communication skills, both oral and written, with attention to detailMSc/PhD in genomic/life science (or similar) Nice to have Additionally, we are looking for candidates who:2+ years experience in RDBMS (e.g. mySQL, mongoDB, PostgreSQL, Redshift)Sales and/or business certificationsCreating interactive applications either through Python, R Shiny or similar frameworksWorking experience in working with AWS environmentExperience with FHIR data modelExperience in analysing clinical trials dataUsing workflow containers, including Docker and SingularityGood understanding of machine learning applications in the pharma industryHave experience with population genetics, genome-wide association studies Benefits & Perks £35k-75k salary dependent on experience, and generous stock options25 days of annual leave plus the usual public holidaysMonthly team activitiesConferences, events and training resources (Data science, AI, cloud, any tech stack, painting, origami, you pick!) - we offer £1,000 a year to each person for personal development)An international and diverse teamExposure to problems and applications in the cloud, data analysis, ML, life sciences and big data fields Please note - Keeping safe and healthy in the workplace is important at any time, but even more so in times like these. Therefore due to Covid-19 all staff members are now working remotely until further notice. Our hiring process is no exception - to protect you, our hiring team and others around, we will be arranging remote interviews with the successful candidates.


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