Bioinformatics Scientist (Remote)

cloudsysanalytics; Kerala; Remote; INR 5,00,000 - 12,00,000; Full time

Job summary

An innovative firm is looking for a skilled Bioinformatics Scientist to join their remote team. This role involves analyzing biological data, developing computational tools, and collaborating with cross-functional teams to enhance understanding of complex biological systems. You will engage in exciting projects that leverage cutting-edge technologies in bioinformatics, contributing to advancements in healthcare and life sciences. If you are passionate about data solutions and eager to make a significant impact in the field, this opportunity is perfect for you.

Benefits

Competitive salary

Professional growth opportunities

Inclusive work environment

Access to cutting-edge technologies

Qualifications

• PhD or Master’s degree with 3 years experience in Bioinformatics.
• Proficiency in programming languages like Python, R, or Perl.

Responsibilities

• Analyze biological data and develop computational tools for research.
• Collaborate with teams to drive innovative bioinformatics projects.

Skills

Python

R

Perl

Problem-solving

Communication

Collaboration

Education

PhD in Bioinformatics or Computational Biology

Master’s degree in Bioinformatics or Computational Biology

Tools

Bioinformatics tools

SQL

AWS

Google Cloud

Job description

About Us:
Cloudsys Analytics is a leading provider of advanced analytics and data solutions dedicated to pushing the boundaries of bioinformatics research. Our mission is to leverage cutting-edge technologies to enhance our understanding of complex biological systems, driving innovation and improving outcomes in healthcare and life sciences.

Job Description:
We are seeking a talented and motivated Bioinformatics Scientist to join our dynamic team remotely. The successful candidate will play a key role in analyzing biological data and developing computational tools to enhance our understanding of complex biological systems. You will collaborate with cross-functional teams to drive innovative research and contribute to our cutting-edge projects in bioinformatics.

Key Responsibilities:

1. Data Collection and Management:
   Collect and organize biological data from various sources, such as DNA/RNA sequencing and other high-throughput technologies.
   Implement and maintain databases to store and manage biological data.
2. Data Preprocessing and Quality Control:
   Clean and preprocess raw data to ensure data quality and reliability.
   Conduct quality control checks on datasets to identify and address any issues.
3. Sequence Analysis:
   Perform sequence alignment, assembly, and annotation for genomic data.
   Analyze DNA, RNA, and protein sequences to extract meaningful biological information.
4. Statistical Analysis:
   Apply statistical methods to analyze experimental results and identify patterns or trends.
   Conduct differential expression analysis for gene expression data.
5. Pathway and Systems Biology Analysis:
   Analyze biological pathways and networks to understand the interactions between genes, proteins, and other biomolecules.
   Explore system-level responses in biological systems.
6. Machine Learning and Data Mining:
   Develop and apply machine learning algorithms to predict biological outcomes or discover patterns in large datasets.
   Utilize data mining techniques to extract valuable insights from biological data.
7. Bioinformatics Software Development:
   Develop and maintain bioinformatics tools and software for data analysis.
   Collaborate with software developers to integrate bioinformatics tools into user-friendly interfaces.
8. Collaboration and Communication:
   Collaborate with biologists, geneticists, and other researchers to understand project goals and requirements.
   Communicate findings and insights effectively to both technical and non-technical stakeholders.
9. Stay Informed and Continuous Learning:
   Keep up-to-date with advancements in bioinformatics, computational biology, and related fields.
   Attend conferences, workshops, and training sessions to enhance skills and knowledge.
10. Ethical Considerations:
    Adhere to ethical standards and data privacy regulations when handling sensitive biological information.
    Ensure compliance with relevant regulatory requirements.
11. Documentation:
    Document methodologies, workflows, and results to facilitate reproducibility and knowledge sharing.
    Prepare reports and presentations for internal and external stakeholders.

Qualifications:

1. PhD or Master’s degree with 3 years experience in Bioinformatics or Computational Biology.
2. Proficiency in programming languages such as Python, R, or Perl.
3. Experience with bioinformatics tools and databases.
4. Strong understanding of molecular biology and genomics.
5. Excellent problem-solving skills and attention to detail.
6. Strong communication and collaboration skills.
7. Research publications.

Preferred Qualifications:

1. Experience with machine learning and statistical modelling.
2. Knowledge of database management and SQL.
3. Familiarity with cloud computing environments (e.g., AWS, Google Cloud).
4. Experience in a specific domain such as cancer genomics, microbiome analysis, or genetic disorders.

Benefits:

1. Competitive salary and benefits package.
2. Opportunities for professional growth and development.
3. Collaborative and inclusive work environment.
4. Access to cutting-edge technologies and research facilities.

Salary: INR. 5-12 Lakhs Annually based on Experience

How to Apply:
Please submit your CV, a cover letter detailing your experience and interest in the position, and contact information for three professional references to [e-mail].

Application Deadline:
[Open till filled]

Equal Opportunity Employer:
Cloudsys Analytics is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.