Job Title: Sr. Bioinformatics ML/AI Engineer Company Name: Baylor Miraca Genetics Laboratories, LLC Job Url: https://www.simplyhired.com/job/0dQPJr2Juql36wtYAXMVMyJ_xOm91CbJo5DlJUg2DZ9mvBpJSPbgCw Job Description: Sr. Bioinformatics ML/AI Engineer Baylor Miraca Genetics Laboratories, LLC Houston, TX Job Details Qualifications Resource allocation Performance dashboard reports Collaborate with healthcare professionals TensorFlow Data model design Business financial process improvement Master's degree in accounting Dashboard development Master's degree in business administration Managerial strategic planning Pricing Budget management Sales revenue Forecasting Strategic management Next generation sequencing Azure Financial model construction Computer Science Continuous Delivery (CD) implementation Financial model development Automation Data modeling projects 5 years Sales analysis Bachelor's degree in finance Process improvement NoSQL Data reporting Application deployment Finance Bash Application development SQL Team development Analysis skills Managing budgets in a finance role Financial operations management Bachelor's degree Cloud-based systems Model deployment Team management Master's degree in finance Computer Engineering OCR Data analytics Accounting and finance experience Developing data pipelines Scalability Unit testing Data visualization Bachelor's degree in accounting Machine learning libraries Master's degree in computer engineering Senior level AI Master of Business Administration Research & development Machine learning frameworks Bioinformatics data analysis Leadership Accounting Python Generative AI Bachelor's degree in data science Data Science Senior leadership Database software proficiency Full Job Description 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.