COMPANY SUMMARY

Sorcero's medical AI platform transforms life sciences decision-making, accelerating patient access to life-saving treatments. By harnessing insights from global medical data, we empower industry leaders to deliver breakthrough therapies. Founded in 2018 by pioneers in AI, public health, and personalized content, Sorcero is a Certified B Corp headquartered in Washington, DC. Our innovation has been recognized by over a dozen awards, including Fast Company's Most Innovative companies of 2024, and six foundational medical AI patents. For more information, visit www.sorcero.com.

WHY JOIN SORCERO?

Our growth and success by collaborating with our network of passionate entrepreneurs to build a scalable, impactful organization. From flexible working arrangements to encouraging meaningful interactions with teammates across the globe, Sorcero provides a supportive community to bring out the best in each of us.

Our employees are driven by these common values:

  • Pursuit of excellence and mastery of their craft
  • Humility in defeat and in success
  • Kindness and empathy towards others
  • Desire to create large-scale, positive change

Sorcero builds AI powered solutions, combining the power of deep learning with the accuracy of ontologies to drive natural language understanding.  Top Pharma companies, scientists and researchers use our platform and applications.  

THE ROLE:
We are seeking a highly motivated and experienced Data Analyst to join our growing team. In this pivotal role, you will be instrumental in transforming raw customer data into actionable insights, fueling our AI platform and supporting our clients' analytical needs. If you are passionate about data, have a keen eye for detail, and thrive in a fast-paced, collaborative environment, we encourage you to apply.

WHAT YOU’LL DO:

  • Customer Requirements Gathering: Ability to drive a dialogue with customers in order to understand their requirements, provide updates, ask/respond to questions, etc. 
  • Data Transformation & Ingestion: Manipulate and transform diverse customer datasets into our standardized common data model, ensuring data quality and readiness for ingestion into our proprietary AI software platform.
  • Analytic Dataset Creation: Design, develop, and maintain robust analytic datasets from various sources to support the creation of interactive dashboards and advanced analytics.
  • Dashboard Development: Lead the design, development, and implementation of impactful dashboards using tools like Power BI or Tableau, translating complex data into clear, user-friendly visualizations.
  • Analytics & Reporting: Conduct in-depth data analysis to identify trends, patterns, and insights, and generate comprehensive reports that address key business questions for Medical Affairs teams.
  • Data Quality Assurance: Implement and maintain data quality checks and processes to ensure the accuracy, completeness, and consistency of all data used for analysis and reporting.
  • Collaboration: Work closely with product, engineering, and customer success teams to understand data requirements, troubleshoot issues, and deliver high-value data solutions.

REQUIRED QUALIFICATIONS:

  • Bachelor's degree in Data Science, Computer Science, Statistics, Information Systems, or a related quantitative field.
  • 5+ years of experience in data analysis, with a significant focus on data mapping, data transformation, and schema management.
  • At least 3 years of experience with Life Sciences and Healthcare data.
  • Proven experience in reviewing and understanding complex datasets from various sources.
  • Strong proficiency in SQL for data querying, manipulation, and profiling.
  • Proficiency in at least one scripting language for data analysis and automation (e.g., Python with libraries like Pandas).
  • Solid understanding of different data structures, formats (e.g., JSON, CSV, XML), and database schemas (relational, non-relational).
  • Experience with ETL/ELT concepts and processes.
  • Excellent analytical and problem-solving skills with a keen attention to detail.
  • Strong communication and collaboration skills, with the ability to work effectively in a team environment.
  • Ability to translate business requirements and AI data needs into technical data mapping specifications.

PREFERRED QUALIFICATIONS:

  • Master's degree in a relevant field.
  • Experience working with customer data platforms (CDPs) or CRM systems (e.g., Salesforce).
  • Familiarity with data warehousing solutions (e.g., Snowflake, BigQuery, Redshift).
  • Understanding of data preparation requirements for AI/Machine Learning models.
  • Experience with data visualization tools (e.g., Tableau, Power BI).
  • Experience with statistical analysis (descriptive and inferential statistics). 
  • Familiarity with cloud data platforms (e.g., AWS, Azure, GCP).
  • Knowledge of data governance principles and best practices.
  • Experience working in a startup environment.
  • Experience working in an Agile development environment.

COMPENSATION AND BENEFITS

Sorcero is a remote and globally distributed team. We offer rewarding compensation that will include a base salary in the range of $110,000-$150,000 depending on experience and location. 

We also provide the following benefits:

  • Three weeks PTO + 1 week of December holiday recess
  • One week Safe & Sick leave
  • 10 company holidays + 2 floating holidays
  • Medical, dental and vision benefits for you and your family
  • Paid parental bonding leave
  • 401(k) retirement plan, company match up to 5%
  • Company-provided laptop and hardware

Because ∑ (human + AI) > human or AI alone

Sorcero is an Equal Opportunity Employer. We do not discriminate based upon race, religion, color, national origin, sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, education, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. and celebrates the diversity of its growing team.

We are unable to sponsor or take over sponsorship of employment visas at the present time.

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