Senior Principal Clinical Data Engineer (m/f/d)

Key Skills

Analytical and Problem solving, C++, Data pipelines, Data science techniques, Database, Design, DynamoDB, Effective communication skills, GoLang, Java Programming, Jupyter Notebook, MariaDB, MySQL, NoSQL, Oracle, PostgreSQL, Python Programming, PyTorch, R Programming, REDIS, RESTful, Rust, Swift, TensorFlow

Job Description

The Senior Principal Clinical Data Engineer is responsible for the design, implementation and quality control of clinical data flow pipelines and reporting frames for business partners’ individual, and drug project groups of, major and/or complex phase I-IV clinical trials, the provision of data engineering consultancy services, the training and mentoring of other data engineers, and supporting operational excellence.

Your responsibilities:

• Responsible for the integrity of clinical data flow pipelines and reporting frames for major and/or complex global clinical drug development programs.
• Act as an expert data engineering functional lead on business partners' drug project teams. Participate in drug project team meetings.
• Determine an efficient drug project data engineering strategy that utilizes business partners' standards and procedures.
• Develop standard and project-level RESTful web service specifications for use in the construction of data flow pipelines and reporting frames across all drug projects (standard) and within a drug project (project-level), respectively.
• Mentor data engineers in the functional expertise required for project support.
• Lead the design and construction of data flow pipelines and reporting frames for the creation of statistical outputs for clinical study reports, regulatory submissions (e.g., Summary of Clinical Safety, Summary of Clinical Efficacy, Risk Management Plan/safety update), responses to health authority questions, publications, and market promotions.
• Ensure the quality control of all data flow pipelines, reporting frames, specifications, web services and statistical outputs within a study project.
• Ensure that data engineering-related documents are comprehensive, exhaustive, consistent, and comply with Biometrics’ and business partners' standards, by reviewing case report forms, statistical analysis plans, data structures specifications, data flow pipeline specifications, reporting frame specifications and web service specifications.

Diversity & Inclusion / EEO

Novartis is committed to building an outstanding, inclusive work environment and diverse teams representative of the patients and communities we serve.

Minimum Requirements

What you’ll bring to the role:

• BA/BS/MS in computer science, mathematics, statistics, health sciences or related field.
• At least 11 years’ work experience in a data engineering role (eight years for MS computer science graduates).
• Full-stack Developer; an expert knowledge of at least one, and a good knowledge of the remainder, of the following technologies: functional or object-oriented programming language - e.g., Java, Python, R, C++, Swift, Rust, Golang, Elixir; Database/Cache/Storage – e.g., Mongodb, noSQL, MySQL/MariaDB, PostgresSQL, DynamoDB, Oracle Database/GlusterFS, Redis, Memcached; Data Science – e.g., Jupyter Notebook, Theano, TensorFlow, Pytorch, Classification, Naive Bayes, Random Forest, KNN
• Proven experience in development of RESTful web services with high programming efficiency; strong programming and problem-solving skills.
• Proven experience as a strong collaborator on data engineering projects.
• Good understanding of regulatory requirements relevant to data engineering (e.g. CFR 21 Part 11; Good Clinical Practice).
• Enjoyment working in a co-located team environment.
• Face-to-face communication prioritization.

Working environment: office based only

Possible locations: Mexico City, Dublin, Ljubljana, Prague, Hyderabad or Kuala Lumpur

You’ll receive:

(only applicable for Dublin:)

Competitive salary, Annual bonus, Pension scheme, Share scheme, Health insurance, 25 days annual leave, Flexible working arrangements, subsidized dining facilities, Employee recognition scheme, learning and development opportunities.

(only applicable for Prague):

Monthly pension contribution matching your individual contribution up to 3% of your gross monthly base salary; Risk Life Insurance (full cost covered by Novartis); 5-week holiday per year; (1 week above the Labour Law requirement) ; 4 paid sick days within one calendar year in case of absence due to sickness without a medical sickness report; Cafeteria employee benefit program – choice of benefits from Benefit Plus Cafeteria in the amount of 12,500 CZK per year; Meal vouchers in amount of 90 CZK for each working day (full tax covered by company); Company Car / Car Allowance; MultiSport Card. Find out more about Novartis Business Services: https://www.novartis.cz/