ZipRecruiter

Log In

2

Remote Bioinformatics Programmer Jobs in Michigan

People also search for

All JobsRemote Bioinformatics Programmer JobsRemote Bioinformatics Programmer Jobs in Michigan

Remote Bioinformatics Programmer information

What is a Remote Bioinformatics Programmer?

A Remote Bioinformatics Programmer is a professional who designs, develops, and maintains software tools and algorithms for analyzing biological data, such as DNA, RNA, and protein sequences, while working from a location outside of a traditional office. They collaborate with biologists, researchers, and other team members through digital platforms to support scientific studies, often in genomics, biotechnology, or pharmaceutical research. Their work typically involves programming in languages like Python, R, or Java, managing large datasets, and ensuring the accuracy and efficiency of computational methods. Remote Bioinformatics Programmers need strong analytical, coding, and communication skills to effectively contribute to research projects from afar.

How do Remote Bioinformatics Programmers typically collaborate with research teams across different time zones?

Remote Bioinformatics Programmers often work closely with multidisciplinary research teams, including biologists, statisticians, and software engineers, who may be distributed globally. Collaboration is usually facilitated through regular virtual meetings, project management tools, and shared code repositories. Flexibility in scheduling and clear, proactive communication are essential to ensure project milestones are met and that team members remain aligned. Adapting to asynchronous workflows is a common challenge, but it also allows for greater autonomy and focused work periods.

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

To thrive as a Remote Bioinformatics Programmer, you need strong programming skills (such as Python, R, or Perl), a solid understanding of biology or genomics, and typically a degree in bioinformatics, computer science, or a related field. Familiarity with bioinformatics tools, databases (like NCBI or Ensembl), and cloud computing platforms is essential, along with experience using version control systems like Git. Excellent problem-solving abilities, communication skills, and self-motivation are crucial soft skills for collaborating remotely and delivering complex analyses. These competencies are vital for efficiently managing and interpreting large biological datasets, ensuring accurate research outcomes, and working effectively in virtual teams.
What are popular job titles related to Remote Bioinformatics Programmer jobs in Michigan? For Remote Bioinformatics Programmer jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Remote Bioinformatics Programmer jobs in Michigan look for? The top searched job categories for Remote Bioinformatics Programmer jobs in Michigan are:
What cities in Michigan are hiring for Remote Bioinformatics Programmer jobs? Cities in Michigan with the most Remote Bioinformatics Programmer job openings:
Remote Bioinformatics Programmer jobs near you
Bioinformatician - AI Trainer

Bioinformatician - AI Trainer

DataAnnotation

Lansing, MI • On-site, Remote

$60/hr

Full-time

Posted 24 days ago

Job description

Join the DataAnnotation team and contribute to developing cutting‐edge AI systems, while enjoying the flexibility of remote work and setting your own schedule. We are looking for experienced quantitative professionals to help advance AI development. AI models are increasingly capable of performing complex analytical and scientific reasoning — but these systems still need practitioners with real‐world quantitative experience to validate whether the outputs actually hold up in practice.

That's where you come in. As a member of DataAnnotation's team, you'll work closely with state‐of‐the‐art AI models on tasks like evaluating AI‐generated quantitative analysis, solving technical problems, and providing feedback that directly shapes how these systems reason about data, models, and scientific problems. Whether your background is in data science, astrophysics, economics, biostatistics, operations research, or any other quantitative field, if you think rigorously about data and models, your skills are directly applicable here.

Some team members fit this work alongside a full‐time role, while others treat it as their primary focus. To get started, once you sign up for an account, you'll take a short assessment (this serves as our version of an interview). If you pass, you'll receive an email confirmation, and paid work will become available on our platform.

Benefits Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New Zealand. Flexible schedule: choose which projects you take on and when you work. Competitive pay: projects are paid hourly, up to $60 USD/hour.

Impact: help shape the future of AI systems built to reason about data and analytics. Responsibilities Evaluate AI‐generated quantitative work, including statistical analysis, predictive modeling, scientific reasoning, and data‐driven insights, for technical accuracy and real‐world validity. Design and solve quantitative problems used to train and benchmark AI systems, spanning areas like forecasting, experimental analysis, optimization, and statistical inference.

Write clear technical explanations and well‐documented analytical code. Provide feedback that directly shapes the next generation of AI models built for quantitative reasoning. Qualifications 2+ years of hands‐on experience in a quantitative role or research environment — such as data science, statistics, economics, finance, physics, biology, epidemiology, operations research, or any adjacent field.

Some coding experience required, with comfort writing and reviewing analytical code end‐to‐end. Practical experience with statistical methods, predictive modeling, and experiment design (e.g., A/B testing, hypothesis testing, regression, classification, time‐series forecasting). Fluency in English (native or bilingual level) with strong writing skills.

A bachelor's degree in a quantitative field is preferred (Statistics, Computer Science, Mathematics, Engineering, or similar); a master's or PhD is a plus. Relevant credentials are a plus (e.g., Kaggle Competition ranking, AWS/GCP ML certifications, or equivalent demonstrated expertise). Payment is made via PayPal.

We will never ask for any money from you. This job is only available to those in the US, Canada, UK, Ireland, Australia, and New Zealand. #J-18808-Ljbffr

Apply