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?
Sorcero transforms decision-making in life sciences by empowering stakeholders with insights to improve patient outcomes. By joining our team, you will play a critical role in our growth and success by collaborating with our network of passionate entrepreneurs to build a scalable, impactful organization. Sorcero provides a supportive community to bring out the best in each of us through flexible working arrangements and meaningful interactions with global teammates.
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
Our cutting-edge solutions empower the world's leading scientists, researchers, and subject matter experts to drive groundbreaking advancements. If you're passionate about innovation and eager to tackle complex challenges, we invite you to join our team. Together, we'll shape the future of life sciences.
THE SR. DATA ANALYST, MEDICAL ANALYTICS ROLE
We are looking for a Medical Analytics Sr. Data Analyst to play a crucial role in driving the successful adoption and ongoing satisfaction of AI solutions in life sciences companies. This dynamic position requires a blend of technical expertise including data analytics, strategic thinking, business acumen and superior customer relationship management skills. The successful candidate will lead medical analytics processes, standardization and scalability of data visualization within the medical suite, translating customer goals to product, while developing strategies for long-term customer satisfaction and retention.
Responsibilities will range from managing complex technical challenges to identifying new growth opportunities, collaborating with the customer experience and product teams. This role under the Data Analytics team part of Technical Operations is instrumental in shaping a customer-centric and product excellence approach, enabling Sorcero to keep pace with the rapid development of analytic expectations and driving the continuous improvement and expansion of the Sorcero AI platforms in the life sciences sector. The ideal candidate will be adept at balancing technical know-how with business acumen, effectively bridging the gap between customer needs and technological solutions.
RESPONSIBILITIES
Implementation and Customer Success
- Collaborate with the technical operations team and the sales team to support customer implementations.
- Translate customer analytics requirements into product implementation plans.
- Provide clear requirements to the product team based on customer needs.
- Ensure that all implementation milestones are met as agreed upon with the customer.
- Lead efforts to develop, communicate and manage customer goal specific analytics implementation project timelines, resource allocation, and deliverables for new and existing implementations
- Provide regular insights to senior management on Analytics trends, Customer feedback, and growth opportunities
- Contribute to develop and execute strategies for long-term Customer satisfaction and retention
- Develop and implement best practices for targeting customer analytic goals and measures of success
- Gather and act on Customer feedback to enhance analytic features including dashboards and reports
Medical Suite Analytics
- Scoping, prototyping of analytic elements within the Medical Suite with Product aligned to core use cases and customer need
- Standardization of visualizations available to serve Medical Solutions (Dashboards)
- Future planning to meet customer need in line with evolution of Sorcero Analytics capabilities and technology partnerships in the Business Analytics space
- Contributing to the creation and mainteinance of the Medical Analytics Playbook and external facing change management resources (including customer trainings) associated with customer use of dashboards and reports
- Providing support for Sales Enablement with Marketing and Sales as related to this capability and in line with commercial expansion and retention strategy
Business Solutions
- Identify and develop new opportunities to expand our analytic capability in AI solutions in life sciences companies
- Conduct technical discovery sessions and create detailed proposals aligning our AI capabilities with Customer needs
- Serve as Analytics Capabilities Evangelist SME on calls with prospects in Customer meetings, articulating our value proposition
- Support Solutions Engineering in developing custom demos for prospects and data extracts for solutioning
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.
- Must be located within the US.
PREFERRED SKILLS
- Master's degree in a relevant field.
- Experience working with customer data platforms (CDPs) or CRM systems (e.g., Salesforce, VEEVA).
- 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 $120,000 - $150,000 depending on experience and location.
We also provide the following benefits for US employees:
- 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.