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Remote Software Engineer Startup Jobs in Kansas (NOW HIRING)

Remote micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their expertise to a customer's computational drug discovery project. In this role, you'll apply your expertise ...

$46.75 - $61.75/hr

A deeply technical, hands-on engineer who uses AI pragmatically to solve hard problems, writes high ... site, remote, or dispersed across global networks. Our platform automates network discovery ...

In this role, you will directly contribute to that mission by ensuring our software provides a ... This remote role welcomes candidates anywhere in Canada and the US. Travel is required as needed ...

In this role, you will directly contribute to that mission by ensuring our software provides a ... This remote role welcomes candidates anywhere in Canada and the US. Travel is required as needed ...

You'll work alongside a Staff Data Engineer (who owns the data foundation) and report to the ... site, remote, or dispersed across global networks. Our platform automates network discovery ...

This is a remote position that could be based anywhere in the United States or Canada. The Commerce ... If you are passionate about lean software development, working with cutting edge development ...

From early process modeling to startup and commissioning, you'll influence every stage of delivery ... We will consider remote options in other locations for uniquely qualified Water Experts. We do ...

Civil Engineer

Overland Park, KS ยท On-site +1

$100K - $130K/yr

Remote or Hybrid (if located near an office) Hire Type: Direct Hire Base Salary : $100,000 - $130 ... Software: * Civil 3D * AutoCAD * Engineering design tools, software, and methodologies Qualified ...

$139K - $168K/yr

Previous software engineering experience via an internship, work experience, or coding competition ... LI-SS2 LI-REMOTE

Showing results 41-60

Remote Software Engineer Startup information

What is a remote software engineer at a startup?

A remote software engineer at a startup is a professional who designs, develops, and maintains software applications while working from a location outside the company's physical office. These engineers use online collaboration tools to communicate with their team and contribute to fast-paced, innovative projects typical of startup environments. They are responsible for writing code, fixing bugs, and sometimes contributing to product design and strategy. Working remotely requires strong self-motivation, excellent communication skills, and the ability to adapt to rapidly changing situations common in startups.

What are the key skills and qualifications needed to thrive as a remote software engineer at a startup?

To thrive as a Remote Software Engineer at a startup, you need strong programming skills (such as in Python, JavaScript, or Java), problem-solving abilities, and typically a degree in computer science or related experience. Familiarity with version control systems like Git, cloud platforms (e.g., AWS, Azure), and agile development tools is essential. Outstanding communication, self-motivation, and adaptability are vital soft skills for collaborating remotely and handling dynamic startup environments. These skills ensure you can deliver quality code, work effectively across distributed teams, and adapt quickly to changing priorities in a fast-paced startup setting.

What are some common challenges faced by remote software engineers working at startups, and how can they be addressed?

Remote software engineers at startups often encounter challenges such as navigating ambiguous requirements, adapting to fast-changing priorities, and maintaining effective communication across distributed teams. To address these, it's important to proactively seek clarification from product managers or team leads, embrace agile methodologies to stay flexible, and utilize collaboration tools like Slack, Jira, and GitHub for transparent communication. Building a habit of regular check-ins and documentation can also help ensure alignment and prevent misunderstandings in a dynamic startup environment.

What is the difference between Remote Software Engineer Startup vs Remote Software Engineer Corporate?

AspectRemote Software Engineer StartupRemote Software Engineer Corporate
CredentialsBachelor's in CS or related field, coding skillsBachelor's in CS or related field, coding skills
Work EnvironmentFast-paced, flexible, small teamsStructured, larger teams, established processes
Employer & IndustryStartups, tech or innovative sectorsLarge corporations, diverse industries
Search & Comparison IntentFocus on startup culture, agilityFocus on stability, resources

Remote Software Engineer Startup roles typically involve working in dynamic, fast-growing environments with smaller teams, emphasizing innovation and flexibility. In contrast, Remote Software Engineer Corporate positions are more structured, with established processes and larger teams, offering stability and resources. Both roles require similar technical credentials but differ in work environment and company size.

What are the most commonly searched types of Software Engineer Startup jobs in Kansas?

The most popular types of Software Engineer Startup jobs in Kansas are:

What are popular job titles related to Remote Software Engineer Startup jobs in Kansas?

For Remote Software Engineer Startup jobs in Kansas, the most frequently searched job titles are:

Bioinformatics Software Engineer

micro1 AI

Olathe, KS โ€ข Remote

$80 - $110/hr

Part-time

Posted 17 days ago


Job description

Role Title: Computational Biology & Cheminformatics Expert


Role Type: Contractor


Location: Remote


micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their expertise to a customerโ€™s computational drug discovery project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required โ€” your domain knowledge is what matters.


Scope of Work

  1. Analyze and interpret small-molecule and drug discovery datasets using advanced computational biology, bioinformatics, and cheminformatics methods.
  2. Curate, annotate, and validate chemical and biological datasets (e.g., ChEMBL, PubChem, DrugBank) to support AI-driven discovery platforms.
  3. Evaluate compound-target interactions, ADMET properties, and lead optimization strategies by integrating chemical, biological, and clinical data sources.
  4. Provide expert insights on structure-activity and structure-property relationships (SAR/SPR), medicinal chemistry approaches, and experimental design considerations.
  5. Build and implement code-based benchmark tasks (e.g., terminal/CLI-based environments) that reflect realistic computational drug discovery scenarios.
  6. Develop reproducible environments (e.g., using Docker) and automated testing pipelines to ensure task correctness and solvability.
  7. Assess and review AI-generated outputs for scientific rigor, accuracy, and practical relevance, delivering detailed written feedback and recommendations.


Preferred Qualifications

  1. Advanced expertise in Computational Biology, Cheminformatics, Medicinal Chemistry, Biochemistry, or related fields; advanced degree (PhD, MSc, PharmD) highly valued but not strictly required.
  2. Strong coding proficiency in Python (beyond analysis scripts), with hands-on experience building tools, pipelines, or testable code; familiarity with Git, GitHub, and Docker.
  3. Extensive experience with cheminformatics toolkits and platforms such as RDKit, KNIME, Schrรถdinger, OpenEye, or MOE.
  4. Proven track record in small-molecule drug discovery, SAR/QSAR evaluation, ADMET prediction, or virtual screening workflows.
  5. Comfort working with public chemical and bioactivity databases and integrating diverse datasets for scientific analysis.
  6. Demonstrated ability to clearly communicate complex chemical and biological concepts in written feedback and reports.
  7. Experience participating in multidisciplinary and/or remote projects; familiarity with AI-assisted coding tools is a plus.