Dash Job - Senior Analytics Engineer - Pharmaceutical company

:mega: Plotly Dash Skills: Dashboard development experience with Dash.

Company: A leading pharmaceutical company

Title: Senior Analytics Engineer

Category: Contract ($60.00 - $62.00 per hour)

Location: New Jersey, USA (50% on site)

Experience: Mid-level

Application: Link to apply

@OpenToWork


Full Job Description

Our client, a leading pharmaceutical company, is hiring a Senior Analytics Engineer, on a contract basis.

Job ID #: 80229

Work Location:
Any Client location in NJ (Princeton, New Brunswick, Warren, Summit) – 50% on site

Knowledge/Skills:

  • Advanced SQL skills (5+ years)
  • 2 years experience working with dbt
  • 5 years working with relational databases
  • MS in Computer Science, Chemical Engineering, Biostatistics or similar with 6 years industry experience or PhD in Computer Science, Chemical Engineering, Biostatistics or similar with 3 years industry experience
  • Intermediate python skills
  • Intermediate visualization (tableau, dashboarding) experience

Education/Experience:

  • MS in Computer Science, Chemical Engineering, Biostatistics or similar with 3-6 years industry experience or PhD in Computer Science, Chemical Engineering, Biostatistics or similar with 3 years industry experience
  • Dashboard development experience (Tableau, Spotfire, DASH)
  • Proficient in writing and developing analytical and machine learning models using python modules including pandas, numpy, scikitlearn, and tensorflow. Experiencing developing and implementing MLOps pipelines.
  • Experience building analytical and statistical models to answer key business questions
  • Experience using git via the command line
  • Strong understanding of core statistical concepts to solve real world problems
  • Intermediate to advanced proficiency (3+ years post academia experience as an independent contributor designing and delivering data solutions) in SQL.
  • Experience interacting with various data warehouses and large-scale, complex datasets using ETL and BI tools and platforms.
  • Self-motivated to identify and propose novel methodologies that will drive increased efficiency
  • demonstrate expert knowledge in machine learning and rule-based systems as applied to computational linguistics and natural language processing, as well as development and execution of annotation tasks with teams of experts
  • Proficiency in mathematics with the skill to translate complex mathematical algorithms into usable computational methods
  • Experience with data mining and analysis techniques across disparate data sources
  • Experience working in LINUX/UNIX environments
  • Experience interacting with PostgresSQL, Oracle, Impala Cloudera, Okera or similar databases
  • Experience with JupyterLabs, Anaconda, and RStudio
  • Intermediate proficiency with python
  • Experience developing visualizations using a variety of methods (plotly, matplotlib, seaborn)
  • Experience working within Domino Data Lab projects
  • Technical knowledge of performance tuning and query optimization across large data sets.
  • Experience with data cataloguing and enablement through APIs
  • Experience with a variety of computer science languages (C++, Java, html/css)
  • Exposure to bioprocess engineering/cell therapy data
  • Knowledge of GxP requirements (preferably related to data and code management)
  • Experience with Program/Project Management. SCRUM experience highly desired

Preferred:

  • Familiar with NET/SAP
  • Knowledge of deep learning methods for NLP (quantitative area of study, Computer Science, preferred)
  • Strong background and demonstratable experience in Natural Language Processing and Computational Linguistics is required
  • Experience working with the pharmaceutical industry
  • Experience working with ERP systems

Responsibilities:

  • Performs data engineering, preprocessing, exploratory data analysis, and model development by interacting with a variety of databases
  • Responsible for ingestion, integration and delivery of data across multiple platforms
  • Works to maintain and uphold data integrity and clean data principles
  • Responsible for leading team code review and improving team programming practices
  • Responsible for independently coordinating and managing analytics projects across several departments and with cross functional stakeholders
  • Ability to work on a global team and communicate across several time zones
  • Communicates with team members regularly to provide updates and collaborate on deliverables.
  • Accountable for leading, documenting and managing analytics URS and UAT through execution for GPO
  • Lead and engage colleagues who complete data related activities
  • Design and deliver digital solutions that streamline access to analytics & data
  • Work with domain SMEs to derive insight and value to improve manufacturing related data transformations and improvement initiatives.
  • Displays a high level of teamwork and collaboration both within and across functions
  • Utilizes supervised or unsupervised methods, learning from vast amounts of unlabeled data to drive insight
  • Experience working with unstructured text
  • Ensures life cycle management of code is maintained through version control and associated repositories.
  • Develops high quality analytical and statistical models, insights, patterns, visualizations, that can be used to improve decision making in manufacturing operations.
  • Responsible for documentation of all technical work both within and outside of formal document management systems
  • Independently develops code and analytical models to automate data transformation and analysis