Job Requirements Role Summary: ConcertAI is a fast-growing healthcare research organization, leading the market in oncology healthcare data analytics. Our dynamic, fun, and highly experienced team is looking for a Statistical Analyst to join us. As a Statistical Analyst in the Real-World Evidence (RWE) business unit, you will be responsible for statistical analyses conducted using ConcertAI’s industry-leading and cutting-edge healthcare data resources. Our team operates in a cross-functional environment with representatives from other functions such as our Epidemiology/HEOR, Data Curation, Data Products, and Data Science teams As a Statistical Analyst on our team, you will be reporting to a Manager on the Biostatistics team and will provide high quality analyses and summaries for studies supporting regulatory submissions and health economics and outcomes research (HEOR) studies. Your responsibilities will involve preparing, linking, and manipulating data as well as performing statistical analyses for research projects dedicated to improving our understanding of the patient journey and treatment outcomes in the oncology space, as well as making meaningful impacts on patients' lives. Statistical Analysts will also participate in data quality control and review results. The Statistical Analyst will contribute to, and support, corporate goals to progress the company’s portfolio of products. Responsibilities Collaborates with Project Managers, Principal Investigators, and other scientific staff to design appropriate study analyses based on project scope and client objectives. Reviews and revises study protocols for accuracy, consistency, thoroughness, and quality of statistical methods and presentation. Drafts and reviews Statistical Analysis Plans (SAPs) to define study cohort eligibility criteria, study measures, and statistical methodologies. Creates data structures by determining patient or disease cohorts, establishing study samples, and structuring data files according to research objectives and study design. Prepares analysis-ready data by loading, extracting, and transforming data across several databases, as well as searching in schemas, cleaning outbound files, and merging data tables. Executes quality control checks of data for anomalies, frequency, and distribution of data points for accuracy and consistency; determines root causes of errors, recommends solutions, and resolves data issues through queries and programming scripts. Performs statistical analyses in accordance with SAPs and generates analytic reports, tables, graphics, and slides. Contributes to methodology and results sections of study deliverables such as protocols, summary reports, abstracts, and manuscripts to ensure accuracy of the programming and statistical descriptions. Interfaces with Scientific Management and Data Curation team to clarify data requests, extract data sets, and review case report forms, as well as the Data Operations team to assemble and clean data sets. Joins client meetings and contributes to the discussion of findings as the statistical lead on assigned projects. Manages task timelines and communicates status updates with project team members regarding project requirements, deadlines, and priorities. Follows company policy and procedures regarding quality control, data security, and the ethical conduct of research involving human subjects, as well as the provisions of the HIPAA security and privacy rules. Participates in other projects as assigned including statistical support roles and contributing to internal initiatives. Work Experience Requirements Master’s degree and up to two years of related programming and statistical experience, or Bachelor’s degree and up to five years of related programming and statistical experience with an area of study in quantitative science such as Statistics, Biostatistics, Analytics, Biometrics, Operations Research, Engineering, or Data Science. Background in scientific research study design and methodology, data analysis, and statistical programming using patient-level datasets. Expertise in SQL is required Expertise with R is required Experience using healthcare data, such as claims or electronic medical records, or patient-reported outcomes is required Experience with GitHub is preferred Experience applying statistical methodologies and advanced mathematical concepts such as ANOVA, linear regression, mixed models, time-to-event analyses, correlation analysis, sampling theory, analysis of categorical data, and appropriate transformations and permutations. Experience integrating and processing complex data (e.g., extracting, transforming, loading, scrubbing). Ability to proactively collaborate on multiple projects and deadlines, establish priorities for work activity, and solve practical problems. Exceptional verbal and written communication skills with a proven ability to clearly and convincingly present information to a wide range of internal and external audiences. Aptitude for understanding and applying best practices from documents such as safety rules, operating and maintenance instructions, procedure manuals, and correspondence. Familiarity with basic productivity software (e.g., Microsoft Excel, Microsoft Word, Web Conferencing Applications). Detail-oriented, highly motivated, results-driven, and flexible to work in a scaling environment. Particular consideration will be given to applicants with the following qualifications Research history within the oncology space related to one or more specific solid tumor types, or to hematological malignancies. Working knowledge of external control arms or other use cases of real-world evidence to support regulatory decision-making. Understanding of FDA regulatory requirements, ICH guidelines, and GCP. Publication track record preferred. Show more Show less

Job Requirements Job Title: Senior Software Engineer - Backend Role Summary We are looking for a strong hands-on technology leader who will build and enhance our next generation data analytics product, processing large volume of real-world healthcare datasets to provide real world insights and optimization of clinical trial design using advance analytics capabilities. The ideal candidate will serve as the technical point person, working closely with product managers, data scientists and development team to advance the product technology and business roadmap. Responsibilities Ensures the implementation of agreed architecture and infrastructure. Design and develop production-ready APIs, services and algorithms built to scale, high performing and compliant to security standards. Drive and uphold high engineering standards and practices, bringing consistency to the codebases you encounter and ensuring software is adequately reviewed, tested, and integrated. Work closely with product management, engineering, dev-ops, data scientist and data engineering team to build, support and deliver new product releases Drive optimization, unit testing and tooling to improve quality of solutions Evaluates and selects appropriate tech stack and suggests integration methods & business impact. Resolves project challenges involving scope, design and technical problems when they arise. Addresses technical concerns, ideas, and suggestions. Requirements Strong SQL and Python programming skills Expertise in designing and developing scalable and high performing micro-services-based architecture for data analytics products/application involving large volume of data processing and embedded ML models. Experience in using distributed computing, optimization techniques and multiprocessing design principals using Python Experience building Search Analytics preferably through Elastic Search. Problem-solving aptitude, with a willingness to work in a fast-paced product development environment and hands-on mentality to do whatever it takes to deliver a successful product. Experience in web application development and deployment. Proficiency with APIs, containerization and orchestration using cloud technologies in AWS is a plus Experience with advanced analytics and modern machine learning techniques is a plus Experience with NoSQL and data processing with pyspark is a plus Experience with Docker for deployment and local development is a plus Qualification Degree in computer science, information technology, or related field. Minimum of 3 to 10 years of hands-on experience in building and productionizing high performing and scalable services involving high volume of data processing within a software product development environment, preferably in life science industry Self-motivated with a passion for learning, analyzing technology tradeoffs, and shipping product Show more Show less

Job Requirements Work with a team to develop advanced analytic techniques to interrogate, visualize, interpret, and contextualize data and develop novel solutions to healthcare specific problems Implement a variety of analytics from data processing & QA to exploratory analytics and complex predictive models Understand client / product needs and translate them into tactical initiatives with defined goals and timelines Implement models using high level software packages (SKlearn, TensorFlow, PySpark, Databricks) Collaborate on software projects, providing analytical guidance and contributing to codebase Devises modeling and measuring techniques, and utilizes mathematics, statistical methods, engineering methods, operational mathematics techniques (linear programming, game theory, probability theory, symbolic language, etc.) and other principles and laws of scientific and economic disciplines to investigate complex issues, identify, and solve problems, and aid better decision making Plans, designs, coordinates and controls the progress of project work to meet client objectives; prepares and presents reports to clients Solves highly specialized technical objectives or problems without a pre-defined approach where the use of creative, imaginative solutions is required Synthesize raw data into digestible and actionable information. Identify specific research areas that merit investigation, develop new hypotheses and approaches for studies and evaluate the feasibility of such endeavors. Initiate, formulate, plan, execute and controls studies, which are designed for the purpose of identifying, analyzing, and reporting on healthcare related issues. Advise management on the selection of an appropriate study design, analysis, and in interpretation of study results. Work Experience BS/ MS in mathematics, physics, statistics, engineering, or similar discipline. Ph.D. preferred. Minimum of 5 years analytics/ Datascience experience Solid experience writing SQL queries Strong programming abilities Python (pandas, sklearn, numpy/ scipy, pyspark) Knowledge of statistical methods- regression, ANOVA, EDA, PCA, etc. Basic visualization skills- matplotlib/seaborn/plotly/etc. PowerBI experience highly preferred. Experience manipulating data sets through commercial and open source software (e.g. Redshift, Snowflake, Spark, Python, R, Databricks) Working knowledge of medical claims data (ICD-10 codes, HCPCS, CPT, etc.) Experience utilizing a range of analytics involving standard data in the Pharmaceutical Industry e.g. claims data from Symphony, IQVIA, Truven, Allscripts, etc. Must be comfortable conversing with the end-users Excellent analytical, verbal and communication skills Ability to thrive in a fast-paced, innovative environment Advanced Excel skills including (v-look-up, pivot tables, charts, graphing , and macros) Excellent documentation skills Excellent planning, organizational, and time management skills Ability to lead meetings and give presentation. Show more Show less

Job Requirements Looking for energetic, self-motivated and exceptional Data Engineer to work on extraordinary enterprise products based on AI and Big Data engineering. He/she will work with star team of Architects, Data Scientists/AI Specialists, Data Engineers, Integration Specialists and UX developers. Work Experience Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases. Experience building and optimizing ‘big data’ data pipelines, architectures and data sets. Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement. Strong analytic skills related to working with unstructured datasets. Experience supporting and working with cross-functional teams in a dynamic environment. 6+ years of experience in a Data Engineer role, who has attained a Graduate degree in Computer Science, Statistics, Information Systems or another quantitative field. Should have experience using the following software/tools: Experience with relational SQL and NoSQL databases, including Postgres and RDS- MSSQL. Experience in PySpark programming.

Job Requirements Responsibilities Primary owner of testing activities from planning through test execution Maintain and improve mobile and web test suites for patient-facing applications. Work closely with all members of the Product and DevOps teams – designers, technical architects, integration Analyst, AWS engineers, site reliability engineers, analysts, Digital and operational leadership - to execute on the product vision. Maintain high standards of software quality within the team by establishing good practices and habits. From understanding of new product requirements through acceptance criteria and wireframes, create new test cases and integrate them into existing regression suites. Create a high visibility traceability matrix for new feature development. Assist the product teams with issue management and quality trends reporting. Assist with the creation of reports, manuals, and other documentation on the operation and maintenance of products. Assist with the analysis and resolution of application problems. Assess opportunities for application and process improvement. Provide second-level support for issue investigation and resolution. Serve as the advocate for the user experience. Own and drive the frontend and backend automation of our application platform, considering future product roadmap The production, test, and product release activities such as document/process creation, review and approval of batch records and associated documents. Also, product release and transactions. Drive and uphold high engineering standards and practices, bringing consistency to the codebases you encounter and ensuring software is adequately reviewed, tested, and integrated. Requirements: 5+ years minimum of Experience as a software Automation Quality Assurance analyst. 5 years minimum Experience with a Test automation tool. Experience with automation tools like Selenium or MABL would be a huge plus. 5 years minimum Experience with a Test Management tool. 5 years minimum Experience with Agile SDLC. Experience creating and managing a product Traceability Matrix. Experience with Jira for issue documentation and management. Experience with test driven development. Experience with various testing strategies and methodologies and strong understanding of when to apply those different strategies. Strong judgment, with the ability to distill and communicate the true impacts of issues. Strong attention to detail. Analytical mindset with an interest in how digital solutions work. Ability to break complex and complicated issues down to root causes. Comfortable articulating and fighting for application quality during high-pressure release cycles. Understanding data standardization practices in pharma domain, integrating Healthcare data, and security related to HIPAA is a plus. Experience with Medidata EDC would be a huge plus Qualification Degree in computer science, information technology, or related field. Minimum of 5+ years of hands-on experience in test qualification and productionizing high performing and scalable services involving high volume of data processing within a software product development environment, preferably in life science industry Self-motivated with a passion for learning, analyzing technology tradeoffs, and shipping product

Job Requirements Job Title: Software Engineer - LLM About ConcertAI ConcertAI is the leading provider of precision oncology solutions for biopharma and healthcare, leveraging the largest collection of research-grade Real-world Data and the only broadly deployed oncology-specific AI solutions. Our mission is to improve translational sciences; accelerate therapeutic clinical development; and provide new capabilities for post-approval studies to accelerate needed new medical innovations to patients and to improve patient outcomes. ConcertAI has emerged as one of the highest growth technology companies in Real-world Data and AI, backed by industry leading private equity companies: SymphonyAI, Declaration Partners, Maverick Ventures, and Alliance|Bernstein. Role Summary ConcertAI is seeking a hands-on engineer to build and enhance its next-generation Clinical AI agentic platform and analytics products, processing large volumes of real-world healthcare data to generate insights and optimize clinical trial design. The ideal candidate should have experience with LLMs, RAG, and tools like LangChain and LangGraph for developing interactive agents. Serving as the technical point person, they will collaborate closely with product managers, data scientists, and the development team to drive the product's technology and business roadmap forward. Responsibilities In this role, you'll help develop and maintain the conversation layer using a combination of software and prompting skills to enable AI-driven clinical conversations. Design complex prompts within the conversation planning layer to support advanced agentic model workflows. Collaborate with subject matter experts to define standard outcomes and continuously refine prompt designs for maximum efficiency and effectiveness Write, configure, and refine prompts to facilitate engaging, oncology curator-oriented interactions. Apply advanced prompting techniques to enhance language model performance, ensuring clinical safety and an improved trial experience. Conduct experiments and analyze model outputs to refine and optimize prompt strategies. Design and develop scalable, high-performing, and security-compliant APIs, services, and algorithms for production use. Maintain high engineering standards by ensuring code consistency, thorough testing, and seamless integration across software components. Qualification Bachelor’s degree in computer science, Computer Engineering, or a related field. Proficiency in Python and SQL, with hands-on experience using interactive notebooks (e.g., Jupyter). Proven experience in machine learning research and development, particularly with LLMs. Professional experience with LLM prompting (e.g., ChatGPT, Claude, LLaMA). Experience with LangChain and LangGraph. Experience in machine learning R&D, particularly in designing, testing, and optimizing LLM-based solutions. Ability to assess model outputs, refine prompt designs, and improve overall system performance. Exposure to working with databases and building simple RESTful APIs. Knowledge of modern web frameworks (e.g., Flask, Django, or Spring Boot). Strong analytical skills and problem-solving mindset. Eagerness to learn new technologies and adapt in a fast-paced environment. Understanding of healthcare workflows and regulatory requirements. Awareness of data privacy and security best practices, especially in regulated environments.

Job Requirements Detailed Product Requirements Definition (PRD) Product release plan Ability to work with B2B and partner ecosystem. Get requirements structurally. Uncover and understand internal and external user needs and translate them into requirements for curation technology product development To query the ConcertAI database as per the requirements of different CancerLinQ (CLQ) products To support in the smooth rollout of different CLQ products by understanding the requirements, creating synthetic data, implementation, and validation To identify opportunities for process improvements on informatics- and product-related functional tasks that could lead to efficiency and scalability Closely work with internal teams, including developers, engineers, architects, quality assurance analysts, data scientists, and curation experts Develop and track timelines, long term roadmaps, and owners for product development and successful implementation delivery goals and improved processes Identify and document implementation risks and dependencies for internal and external timelines and successfully communicate in lay terms to key stakeholders Ensure requirements are fully understood by ICs and that implementation plans match expectations across projects and teams Define detailed technical data requirements within an agile development framework. Create and manage backlog for multiple workstreams in Jira, requirements in Confluence, running planning meetings with various teams and ICs to prioritize and assign tasks Understand, research, and follow trends in the industry and in general to identify and suggest areas for platform growth and development Monitor and contribute to the development of trainings, documentation, and communication for internal knowledge sharing across data products and pipelines – specifically for curation team / users of platform Identify and lead the implementation of process improvements across workstreams, including leading retrospective discussions and proactive brainstorming sessions for individual and team growth Lead in generation and maintenance of release notes Completion of other assigned tasks Work Experience Requirements Bachelor’s degree required; Master's degree strongly preferred Proven experience in building products with healthcare technology, oncology preferred Strong grasp of SQL or other coding languages Experience using healthcare data, such as claims or electronic medical records, or patient-reported outcomes is required Experience integrating and processing complex data (e.g., extracting, transforming, loading, scrubbing). Strong understanding of the emerging trends in Generative AI Growth mind-set of diving into new areas and quickly developing a strong point of view Problem solving approach and a can-do attitude Strategic, critical but creative thinker with strong business sense Ability to work within cross-functional team environments Comfortable with Jira, Confluence, and other collaboration platforms Familiarity with agile development and concepts Experience and comfort in learning new data processing, data visualization & analytic tools Enjoys staking out new areas of development, ideating new applications and solutions down to details based on internal, user & client feedback Strong cross-functional skills & collaborative mindset Exceptional communication and listening skills and strong attention to detail Proven ability to effectively manage multiple complex projects with competing priorities across an organization Experience both shaping and improving existing processes while navigating multiple stakeholder input with high EQ and thoughtfulness Leveling based on experience and background Preferred Requirements Skilled in design thinking and UX/UI best practices Expertise in building decision frameworks that help make objective investment calls Experience defining epics and writing user stories