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Remote Bioinformatics Machine Learning Jobs in Florida

Machine Learning & Operations Engineer

Miami, FL · Remote

$66K - $89K/yr

This is a fully remote position, working cross-functionally with research and engineering teams ... Develop CI/CD workflows tailored for machine learning systems. * Orchestrate data ingestion ...

Machine Learning & Operations Engineer

Miami, FL · Remote

$66K - $89K/yr

This is a fully remote position, working cross-functionally with research and engineering teams ... Develop CI/CD workflows tailored for machine learning systems. * Orchestrate data ingestion ...

Sr. Machine Learning Engineer

Bradenton, FL · Remote

$111K - $146K/yr

Sr. Machine Learning Engineer The Sr. Machine Learning Engineer collaborates with the team of Data ... The ability to work collaboratively with remote teams. * Experience with containerization using ...

AI/Machine Learning Engineer Senior

Orlando, FL · On-site +1

$114K - $150K/yr

... remote, we offer flexible work schedules to comprehensive benefits investing in your future and ... machine learning and software engineering
 • Excellent communication skills to understand ...

AI/Machine Learning Engineer Senior

Orlando, FL · On-site +1

$114K - $150K/yr

... remote, we offer flexible work schedules to comprehensive benefits investing in your future and ... machine learning and software engineering
 • Excellent communication skills to understand ...

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Remote Bioinformatics Machine Learning information

How do remote bioinformatics machine learning professionals typically collaborate with cross-functional teams?

Remote bioinformatics machine learning professionals often work closely with biologists, data scientists, and software engineers. Collaboration is typically facilitated through virtual meetings, shared code repositories, and project management tools. Regular communication is essential to align on data requirements, model development, and interpretation of results. While remote work offers flexibility, it requires strong organizational skills and proactive engagement to ensure seamless teamwork and project success.

What is a Remote Bioinformatics Machine Learning specialist?

A Remote Bioinformatics Machine Learning specialist is a professional who applies machine learning techniques to biological data, such as genomics or proteomics, while working from a remote location. They analyze complex biological datasets to uncover patterns, make predictions, and contribute to advancements in areas like drug discovery, disease research, and personalized medicine. These specialists typically have strong skills in programming, statistics, biology, and data analysis, and collaborate with researchers and healthcare professionals through digital communication tools.

What are the key skills and qualifications needed to thrive as a Remote Bioinformatics Machine Learning Specialist, and why are they important?

To excel as a Remote Bioinformatics Machine Learning Specialist, a strong background in computational biology, statistics, and machine learning—often supported by an advanced degree in bioinformatics, computer science, or a related field—is essential. Proficiency with programming languages like Python or R, experience using machine learning frameworks (such as TensorFlow or scikit-learn), and familiarity with bioinformatics tools and databases are typically required. Excellent problem-solving, self-motivation, and clear communication skills help professionals collaborate effectively and independently in remote environments. These abilities are vital for developing accurate models, interpreting complex biological data, and contributing meaningful insights to scientific research.

What is the difference between Remote Bioinformatics Machine Learning vs Remote Computational Biologist?

AspectRemote Bioinformatics Machine LearningRemote Computational Biologist
Required CredentialsMaster's or PhD in Bioinformatics, Computer Science, or related fields; experience in machine learningMaster's or PhD in Biology, Bioinformatics, or related fields; strong computational skills
Work EnvironmentRemote, collaborative teams in biotech, pharma, or research institutionsRemote or on-site, working in research labs or academic settings
Industry UsageUsed in biotech, healthcare, and pharmaceutical industries for data analysis and model developmentCommon in academic research, biotech, and healthcare for biological data interpretation

Remote Bioinformatics Machine Learning focuses on developing algorithms and models to analyze biological data using machine learning techniques. In contrast, Remote Computational Biologist applies computational methods to biological research questions, often integrating diverse data types. Both roles require strong computational skills and often overlap, but the former emphasizes machine learning expertise, while the latter has a broader biological research scope.

What are the most commonly searched types of Bioinformatics Machine Learning jobs in Florida? The most popular types of Bioinformatics Machine Learning jobs in Florida are:
What are popular job titles related to Remote Bioinformatics Machine Learning jobs in Florida? For Remote Bioinformatics Machine Learning jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Remote Bioinformatics Machine Learning jobs in Florida look for? The top searched job categories for Remote Bioinformatics Machine Learning jobs in Florida are:
What cities in Florida are hiring for Remote Bioinformatics Machine Learning jobs? Cities in Florida with the most Remote Bioinformatics Machine Learning job openings:
Machine Learning Scientist - Remote

Machine Learning Scientist - Remote

Tower Hill Insurance Group LLC

Gainesville, FL • On-site, Remote

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 3 days ago


Job description

Description

Tower Hill Insurance Group has an exciting opportunity for a talented Machine Learning Scientist who enjoys intellectual challenges and is seeking a rewarding career with a company that is experiencing growth. Not only is Tower Hill Insurance one of Florida's most trusted names in homeowners insurance, but it offers great opportunities for career advancement and personal growth, along with very competitive benefits and rewards. We are growing at a consistent pace and seek professional individuals with drive, team mentality, who want to make an impact, and are committed to a long-term career in the insurance industry.       


The Machine Learning (ML) Scientist develops actionable insights and recommendations in support of business objectives using in-house and external data sources. This position utilizes problem-solving skills to collaborate with business and data engineering professionals for timely and reliable delivery of data solutions. This role leverages the team's deep expertise in data engineering, data science, advanced analytics, and insurance industry data to aid business partners in risk management, drive efficiencies, and improve customer experience.


ESSENTIAL DUTIES AND RESPONSIBILITIES

  • Partner with business stakeholders to scope, structure, and drive analytical projects from requirements through delivery. Present findings and recommendations clearly to both technical and non-technical audiences.
  • Source, validate, and integrate structured and unstructured data across platforms. Conduct exploratory data analysis to reveal data quality issues and identify opportunities.
  • Analyze business trends, time series patterns, model performance, and causal relationships using advanced statistical and machine learning / deep learning methods to inform strategic decisions.
  • Design, build, and deploy machine learning / deep learning models - including NLP, computer vision, and LLM-based solutions - from rapid prototyping through production deployment.
  • Create visualizations, dashboards, and reports that communicate analytical and model results to support decision-making across the organization.
  • Own and maintain recurring analytical, reporting, and model-monitoring processes.
  • Document data pipelines, model architecture, analytical frameworks, and deliverables for knowledge sharing across technical and non-technical teams.


ADDITIONAL DUTIES

This job description reflects the general duties considered necessary to describe the essential functions of the job and should not be considered a complete description of all the work requirements and expectations of the position. Tower Hill reserves the right to assign duties not listed herein as necessary to accomplish the goals of the organization.


Requirements

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.


EDUCATION

High School Diploma or GED required. Bachelor's Degree in Computer Science, Statistics, Mathematics, Engineering, or related field required. Master's Degree or higher preferred. 


EXPERIENCE

Minimum of five (5) years of relevant work experience in machine learning and/or deep learning required, including the following:

  • Advanced Proficiency in Python. 
  • Demonstrated ability to build and deploy ML models using frameworks such as scikit-learn, PyTorch, Hugging Face Transformers.
  • Experience working with cloud data platforms and warehouses (e.g., Snowflake, PostgreSQL) and cloud storage (e.g., S3).Strong written and verbal communication skills with the ability to present complex technical concepts and insights to non-technical stakeholders.
  • Proven ability to work independently, drive projects forward with minimal oversight, and execute in stakeholder-facing environments. 


The following work experience is highly preferred: 

  • Experience with deep learning, NLP, computer vision, or large language model development and deployment.
  • Hands-on experience with statistical methods (hypothesis testing, regression, causal inference), exploratory techniques (clustering, PCA), anomaly detection, forecasting, and time series analysis.
  • Experience with data processing at scale using PySpark, Pandas, or similar libraries to clean, transform, and integrate data from multiple sources.
  • Experience with visualization tools such as Power BI, matplotlib, seaborn, or plotly.
  • Familiarity with API development and deployment using frameworks such as FastAPI.
  • Experience with AWS services such as SageMaker, S3, Lambda, or Glue.
  • Property and casualty insurance or financial services industry work experience including regulatory standards and best practices is a plus. 


CERTIFICATIONS

AWS Certifications in AI or ML preferred.


LICENSES

N/A

*Tower Hill currently operates in a hybrid work environment and may consider candidates located outside of our established office locations. We are presently open to hiring in the following states CT, FL, GA, IA, IN, KY, MI, MS, NC, OH, SC, TN, TX, VA, WV.   


Applicants must be legally authorized to work in the U.S. without the need for current or future visa sponsorship.  


Preferred work arrangement hybrid on-site, but remote candidates will be considered based on qualifications and experience. 


BENEFITS

  • Medical
  • Dental
  • Vision
  • Life & Disability Insurance
  • 401(k)
  • Health Savings Account
  • Accident, Critical Illness and Hospital Indemnity
  • Pet insurance
  • Paid time off & Holiday pay

We offer competitive pay and benefits, and well-being programs to support you and your family. For more information about our company, careers and Total Compensation visit:   Total Compensation - Tower Hill Insurance (thig.com) 


Tower Hill Insurance is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.


Tower Hill Insurance is committed to working with and providing reasonable accommodation for individuals with disabilities. If you need reasonable accommodation because of a disability for any part of the employment process, please send an e-mail to hrdepartment@thig.com and let us know the nature of your request and your contact information.


All applicants will receive an acknowledgement that their application has been received. Candidates will not receive status updates regarding their application; however, those candidates selected for further consideration will be contacted by Human Resources.