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Remote Scientist Algae Research Jobs in Indiana (NOW HIRING)

Remote micro1 is engaging Physics Experts (PhD / Postdoc) to contribute deep scientific knowledge ... Research expertise in one or more of: High Energy Physics, Mathematical Physics, Biophysics ...

Remote micro1 is engaging Physics Experts (PhD / Postdoc) to contribute deep scientific knowledge ... Research expertise in one or more of: High Energy Physics, Mathematical Physics, Biophysics ...

Remote micro1 is engaging Physics Experts (PhD / Postdoc) to contribute deep scientific knowledge ... Research expertise in one or more of: High Energy Physics, Mathematical Physics, Biophysics ...

Remote micro1 is engaging Physics Experts (PhD / Postdoc) to contribute deep scientific knowledge ... Research expertise in one or more of: High Energy Physics, Mathematical Physics, Biophysics ...

Remote micro1 is engaging Physics Experts (PhD / Postdoc) to contribute deep scientific knowledge ... Research expertise in one or more of: High Energy Physics, Mathematical Physics, Biophysics ...

ENGINEER/SCIENTIST

Crane, IN · On-site +1

$125K - $192K/yr

... remote or isolated sites. You must be able to travel on military and commercial aircraft for ... Operations Research Series FOR 1550: Computer Science Series Experience refers to paid and unpaid ...

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Remote Scientist Algae Research information

What does a remote scientist in algae research do?

A Remote Scientist in Algae Research studies various species of algae, often using digital tools and remote sensors to monitor growth, analyze samples, and model environmental impact. Their work may include researching algae for biofuel production, environmental sustainability, carbon capture, or biotechnology applications. They collaborate with research teams, often communicating online, to design experiments, interpret data, and publish findings. This role typically requires a strong background in biology, ecology, or environmental science, and familiarity with remote data collection technologies.

What are the key skills and qualifications needed to thrive as a remote scientist in algae research?

To thrive as a Remote Scientist in Algae Research, you need a solid background in biology or environmental science, experience in algal cultivation and analysis, and typically a relevant advanced degree. Familiarity with laboratory data analysis software, remote sensing tools, and possibly bioinformatics platforms is highly valued. Strong problem-solving, self-motivation, and effective written communication are essential soft skills, especially when working remotely and collaborating across teams. These skills ensure accurate research, effective collaboration, and meaningful contributions to advancing algae-based solutions in a distributed work environment.

What are some common challenges faced by remote scientists conducting algae research, and how can they be addressed?

Remote scientists in algae research often face challenges such as limited access to laboratory facilities, coordinating experiments across different locations, and communicating effectively with on-site teams. To address these, many teams utilize cloud-based data sharing platforms, virtual lab meetings, and remote monitoring tools for experiments. Staying organized with clear protocols and regular communication helps ensure research continuity and accuracy. Additionally, remote roles may involve more self-directed work, making time management and proactive collaboration essential for success.

What are the most commonly searched types of Scientist Algae Research jobs in Indiana?

The most popular types of Scientist Algae Research jobs in Indiana are:

What job categories do people searching Remote Scientist Algae Research jobs in Indiana look for?

The top searched job categories for Remote Scientist Algae Research jobs in Indiana are:

What cities in Indiana are hiring for Remote Scientist Algae Research jobs?

Cities in Indiana with the most Remote Scientist Algae Research job openings:

Infographic showing various Remote Scientist Algae Research job openings in Indiana as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 83% Full Time, 13% Part Time, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution.

Bioinformatics Research Scientist - AI Reviewer

micro1 AI

South Bend, IN • Remote

$80 - $110/hr

Part-time

Posted 20 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 customer’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 — 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, Schrödinger, 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.