Data Scientist 4

  • Location

    Norwood, United States

  • Sector:

    Business Professional

  • Job type:


  • Contact:

    Sonu Chouhan

  • Job ref:


  • Published:

    over 1 year ago

  • Expiry date:


We are searching for a professional to play a key role in the planning, design and execution of machine learning and artificial intelligence to advance predictive analyses for a point-of-care medical device. The Data Analytics Lead will enable researchers and engineers to integrate sophisticated mathematical models into the development of tailored reports, apps and dashboards for blood analyte (e.g. oxygen, lactate, glucose) signal visualization, analysis and interpretation. The Data Analytics Engineer will be relied on to provide knowledge and expertise in achieving research targets, delivering on specific milestones, interpreting results, and reporting them to key stakeholders.

Leveraging on education and professional background in data analytics, machine learning and artificial intelligence, the Data Analytics Engineer will conceptualize new methods and approaches that help interpret continuous streams of biosensor data with the goal of providing valuable diagnostic information.

The Data Analytics Engineer will have a strong interface biosensor and engineering team members, as well as Clinical, Quality and Regulatory as needed to support preclinical and clinical data analysis. This lead role will have responsibilities to ensure the type and quality of data provided and lead work directly with internal and external experts in machine learning and algorithm development.

The Data Analytics Engineer will be expected to conduct analyses with our database and lead the strategy and development of analysis plans for upcoming studies and trials with the goal of evaluating multiple parameters to develop unique and/or composite signature metrics/algorithms with predictive diagnostic outcomes.

The Data Analytics Lead will work collaboratively with other team members to achieve these goals.


Develop algorithms that extract meaningful parameters from time-series analytical data Develop classification algorithms that predict diagnostic status, either independently or in combination with instrument data streams Develop algorithm for deconvoluting multiple signals


Ph.D. (or MD/PhD) in Computer Science, Electrical Engineering, Chemical Engineering, or Biomedical Engineering or related fields. Individual should have had formal training or extensive experience in electrochemistry or biosensors


More than 5 years research experience working with biosensor signal processing Experience with statistical classification approaches, machine learning, predictive algorithm creation and other data analytics tools is required Experience with artificial intelligence is required Proficiency in computing languages (Python, R, Matlab, etc.) is required Proficiency in programming languages (C, C++, Java, Javascript) is preferred Familiarity with relational databases (ie. SQL) is important and Tableau is a plus Experience with time series analysis (ie. feature extraction, as well as Fourier, wavelet and complexity analyses approaches) Experience working with data obtained during pre-clinical studies and/or clinical trials Ability to define strategy and manage complex projects, motivate and lead others, and work collaboratively with multidisciplinary teams Strong written and verbal communication, organizational and relationship-building skills are required Experience working with data from early stage biosensor prototypes, including protocol design, working with human subjects, documenting experiments, and refining procedures Experience with Statistical Methodologies necessary to evaluate candidate algorithm solutions including ANOVA, Design of Experiments, Hypothesis Testing

Analyzes and enriches data by deploying various kinds of data analytics methods, models (e.g. predictive models) and algorithms to extract and visualize relevant information for solving business-specific questions and problems to generate viable market offerings.Explores new business opportunities enabled by data analytics and data driven insights and proposes them to the business stakeholders. * Maintains network to customers, business experts and other subject matter experts to understand business data analytics requirements and identify data analytics driven business opportunities. * Conducts data exploration and identifies relevant data sets and new relations in data. * Identifies further data requirements and integrates such data. * Develops and tests prototypes in an industrial environment, validates and communicates results to answer targeted business questions. * Develops marketable (product grade quality) analytic models, configures and deploys algorithms, selects optimal tool and define visualization method/tool to display results. * Sets up visualization systems to display results in most appropriate way based on cognitive science. * Defines and provides requirements to IT infrastructure. * Determines sustainable processes to support fast growing data volumes and ensuring of data quality and data accessibility together with the data architect. * Collaborates with Enterprise IT, service and product business units to maintain analytics model. * Implements and manages big data analytics projects and presents results to stakeholders inside and outside the company. * Explores new innovative technologies and open source projects. "Creates"Is expected to adopt existing concepts, methodologies, etc. in order to create and open up new ways of approaching and fulfilling specific internal and external client requests or project requirements. 8-10 years Deep professional know-how and experience in one Sub Job Family. Masters domain and transfers and applies know-how to/in various contexts. Solid professional judgment and problem solving competence. Improves existing processes and approaches.