A seasoned machine learning and AI application engineer with strong knowledge and hands-on experience in bioinformatics, genomic/clinical data modeling, AI/GenAI application development, data engineering, and cloud computing.
QUALIFICATIONS:
Education:
Master's or higher degree in Computer Engineering, Data Science, Bioinformatics, Machine Learning, and Data modeling, or related field with five (5) years of experience in genomic data analysis and application development.
Experience:
Hands-on experience in clinical bioinformatics pipeline development, including secondary/tertiary analysis, variant interpretation and classification pipeline R&D, and automated report generation
Hands-on experience in human genetics/multi-omics data modeling and application development, especially in next-generation sequencing data
Hands-on experience in machine learning framework (such as Huggingface, TensorFlow)
Hands-on experience in automated and scalable AI/GenAI application evaluation, development, and deployment.
Hands-on experience in RAG AI framework
Hands-on experience with scripting languages, such as Bash and Python
Strong experience in cloud platform (Azure) and data services (data lakehouse/data warehouse)
Experience in context-aware OCR
Experience in databases, including SQL and NoSQL
Familiarity with advanced data visualization techniques
DevOps experience such as unit testing, CI/CD is a plus.
Strong curiosity and the ability to learn quickly and adapt to a fast-changing environment
DUTIES AND RESPONSIBILITIES:
Serves as the SME in Bioinformatics ML/AI application development in a clinical genetic testing setting. Provides hands-on support towards building the company’s next-generation bioinformatics ML/AI platform
Designs, develops, evaluates, and deploys state-of-the-art ML/AI solutions to gain valuable data insights based on the genetical, phenotypical, and clinical datasets
Evaluates, adopts, and customizes GenAI models based on both internal and external datasets to enhance the overall performance of the genetic testing workflow
Supports both internal and external data requirements by leveraging AI/ML and GenAI capabilities to keep up with the increasing demands of the business
Collaborates in a multidisciplinary and regulated clinical diagnostics environment with geneticists, bioinformaticians, software engineers, and IT infrastructure professionals
PHYSICAL DEMANDS AND WORK ENVIRONMENT:
Frequently required to sit
Frequently required to stand
Frequently required to utilize hand and finger dexterity
Frequently required to talk or hear
Frequently required to utilize visual acuity to operate equipment, read technical information, and/or use a keyboard
Occasionally exposed to bloodborne and airborne pathogens or infectious materials
EEO Statement:
Baylor Genetics is proud to be an equal opportunity employer dedicated to building an inclusive and diverse workforce. We do not discriminate based on race, religion, color, national origin, sex, sexual orientation, age, gender identity, veteran status, disability, genetic information, pregnancy, childbirth, or related medical conditions, or any other status protected under applicable federal, state, or local law.
Summary:
The Director, Corporate Financial Planning & Analysis is responsible for leading Baylor Genetics’ strategic financial planning, budgeting, forecasting, FP&A process improvement. This role plays a critical part in aligning financial strategy with long-term business goals. The Director will provide executive-level insights to leadership and external stakeholders while ensuring financial models and projections reflect the organization’s growth trajectory and performance.
Qualifications and Experience:
Education:
Bachelor's degree in Finance, Accounting, or a related field; MBA or relevant advanced degree preferred.
Experience:
Minimum of 10 years of experience in financial planning and analysis or corporate finance
At least 3 years in a financial leadership role
Proven success in FP&A process improvement, experience in Adaptive planning platform implementation required
Strong background in financial modeling, budgeting, and strategic forecasting
Duties and Responsibilities:
Strategic Financial Planning & Forecasting:
Lead the development of company-wide financial models and long-term forecasts
Translate strategic objectives into detailed financial plans aligned with organizational priorities
Collaborate with executive leadership to assess financial performance, risks, and growth opportunities
Budget and Forecast Management:
Oversee the annual budgeting process and rolling forecasts
Ensure alignment between actual results and forecasts, identifying key trends and drivers
Partner with department heads to develop financially sound operational plans
Revenue Analysis & Decision Support:
Lead revenue and margin analysis to support strategic decision-making
Drive business performance by analyzing sales trends, pricing strategies, and market dynamics
Provide financial insights that support resource allocation and investment decisions
Dashboards, Planning and Reporting:
Develop and maintain dashboards, planning and reporting tools for executive and departmental use including Adaptive planning platform
Provide timely and actionable financial insights to guide company performance
Team Leadership:
Build and lead a high-performing FP&A team
Foster a culture of collaboration, continuous improvement, and accountability
Physical Demands and Work Environment:
Frequently required to
Frequently required to utilize hand and finger
Frequently required to talk or
EEO Statement:
Baylor Genetics is proud to be an equal opportunity employer dedicated to building an inclusive and diverse workforce. We do not discriminate based on race, religion, color, national origin, sex, sexual orientation, age, gender identity, veteran status, disability, genetic information, pregnancy, childbirth, or related medical conditions, or any other status protected under applicable federal, state, or local law.
Note to Recruiters:
We value building direct relationships with our candidates and prefer to manage our hiring process internally. While we occasionally partner with select recruitment agencies for specialized roles, we do not accept unsolicited resumes from recruiters or agencies without a written agreement executed by the authorized signatory for Baylor Genetics ("Agreement"). Any resumes submitted to Baylor Genetics in the absence of an Agreement executed by Baylor Genetics' authorized signatory will be considered the property of Baylor Genetics, and Baylor Genetics will not be obligated to pay any associated recruitment fees.