Departments / Extreme-Scale, Nano & Fundamental Engineering / D12

Biology, Biotechnology & Bio-Nano Systems

Nanobiotechnology, biomaterials, biosensors, computational biology and bioinformatics, tissue engineering, lab-on-chip and microfluidics, and the interfaces between biology and engineered surfaces.

Computational Computational research 10^-9 m to 10^-3 m 11 open

What this work is, and what it is not

Biological research carries obligations that computation does not. Nothing in this division proceeds outside applicable biosafety levels, institutional biosafety and ethics approval, and the law that applies where the work is done. No work on human subjects or identifiable human data begins before the approvals are in hand, and no result from this division is a medical claim or clinical advice.

Computational research. Computed from established physics. A computed number is a prediction, and it is only as good as its convergence, its error budget, and whatever data it can be checked against.

Scale bands are a research classification, not a claim of experimental reach. Most of this span cannot be probed by any apparatus that exists: nothing below about 10^-19 m has been measured directly, and anything at 10^26 m or beyond is inferred from observation rather than engineered. Every opportunity states the kind of work it actually is.

Where this division sits

Scale range 10^-9 m to 10^-3 m

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10^-100 m 10⁰ m 10¹⁰⁰ m

Experiments reach here 3 bands no experiment reaches This role

B05

Nano (10^-9 to 10^-6)
Molecules, nanostructures, two-dimensional materials and quantum dots. Fabricated, imaged and characterised routinely.

B06

Micro (10^-6 to 10^-3)
Microelectronics, MEMS, microfluidics and cellular biology. Mature fabrication and metrology.

Charter

This division models biological systems, develops biosensing concepts, studies bio-material interfaces, and builds computational biology workflows. All biological work follows applicable biosafety, ethics and institutional requirements, and no work involving human subjects or identifiable human data proceeds without the required approvals in place first.

Domains

NanobiotechnologyBiomaterialsBiosensorsMolecular biologyComputational biologyBioinformaticsTissue engineeringLab-on-chipMicrofluidicsSynthetic biologyBiointerfaces

Disciplines

Biology and biotechnology Chemistry Nano engineering Materials science Scientific computing

Works with

Divisions this one collaborates with routinely.

D04D05D07D08D13

11 open opportunities

Grouped by career rung. Every posting states its own classification, its scale range and what it expects you to have already done.

Level 1 3

Bio-Nano Research Intern

One bio-nano interface studied computationally, with what the model leaves out written down.

Computational Computational research L1 · Research and Engineering Intern Internship On-site / Hybrid — Kolkata, West Bengal, India

Scale 10^-9 m to 10^-3 m

Molecular biology to the level of explaining how a measurement in an assay relates to the underlying biology. · Has analysed a real biological dataset and stated its batch effects or confounders. · Statistics for biological data: multiple testing, effect size, and why a significant result can be meaningless. · Python or R for bioinformatics, with a reproducible pipeline. + 4 more

Biotechnology Intern

A scoped biotechnology question worked through with its biosafety and ethics context stated.

Computational Computational research L1 · Research and Engineering Intern Internship On-site / Hybrid — Kolkata, West Bengal, India

Scale 10^-9 m to 10^-3 m

Molecular biology to the level of explaining how a measurement in an assay relates to the underlying biology. · Has analysed a real biological dataset and stated its batch effects or confounders. · Statistics for biological data: multiple testing, effect size, and why a significant result can be meaningless. · Python or R for bioinformatics, with a reproducible pipeline. + 4 more

Computational Biology Intern

A public biological dataset analysed end to end in a pipeline that reruns from raw data.

Computational Computational research L1 · Research and Engineering Intern Internship On-site / Hybrid — Kolkata, West Bengal, India

Scale 10^-9 m to 10^-3 m

Molecular biology to the level of explaining how a measurement in an assay relates to the underlying biology. · Has analysed a real biological dataset and stated its batch effects or confounders. · Statistics for biological data: multiple testing, effect size, and why a significant result can be meaningless. · Python or R for bioinformatics, with a reproducible pipeline. + 4 more

Level 3 4

Bio-Nano Engineer

Nanoscale structures that have to work in contact with living material, and what that constrains.

Computational Computational research L3 · Engineer and Scientist Full-Time On-site — Kolkata, West Bengal, India

Scale 10^-9 m to 10^-3 m

Molecular biology to the level of explaining how a measurement in an assay relates to the underlying biology. · Has analysed a real biological dataset and stated its batch effects or confounders. · Statistics for biological data: multiple testing, effect size, and why a significant result can be meaningless. · Python or R for bioinformatics, with a reproducible pipeline. + 4 more

Biomaterials Engineer

Materials meant for biological contact: response, degradation, and the failure the material eventually has.

Computational Computational research L3 · Engineer and Scientist Full-Time On-site — Kolkata, West Bengal, India

Scale 10^-9 m to 10^-3 m

Molecular biology to the level of explaining how a measurement in an assay relates to the underlying biology. · Has analysed a real biological dataset and stated its batch effects or confounders. · Statistics for biological data: multiple testing, effect size, and why a significant result can be meaningless. · Python or R for bioinformatics, with a reproducible pipeline. + 4 more

Biosensor Engineer

Sensing concepts developed to a limit of detection derived in a realistic sample matrix.

Prototype Active experimental research L3 · Engineer and Scientist Full-Time On-site — Kolkata, West Bengal, India

Scale 10^-9 m to 10^-3 m

Molecular biology to the level of explaining how a measurement in an assay relates to the underlying biology. · Has analysed a real biological dataset and stated its batch effects or confounders. · Statistics for biological data: multiple testing, effect size, and why a significant result can be meaningless. · Python or R for bioinformatics, with a reproducible pipeline. + 4 more

Computational Biologist

Biological questions answered computationally, with confounders addressed rather than mentioned.

Computational Computational research L3 · Engineer and Scientist Full-Time On-site — Kolkata, West Bengal, India

Scale 10^-9 m to 10^-3 m

Molecular biology to the level of explaining how a measurement in an assay relates to the underlying biology. · Has analysed a real biological dataset and stated its batch effects or confounders. · Statistics for biological data: multiple testing, effect size, and why a significant result can be meaningless. · Python or R for bioinformatics, with a reproducible pipeline. + 4 more

Level 4 1

Bioinformatics Scientist

The pipelines and the statistics the division's biological conclusions rest on.

Computational Computational research L4 · Specialist Full-Time On-site — Kolkata, West Bengal, India

Scale 10^-9 m to 10^-3 m

Molecular biology to the level of explaining how a measurement in an assay relates to the underlying biology. · Has analysed a real biological dataset and stated its batch effects or confounders. · Statistics for biological data: multiple testing, effect size, and why a significant result can be meaningless. · Python or R for bioinformatics, with a reproducible pipeline. + 5 more

Level 5 1

Senior Bio-Nano Engineer

Several bio-nano programmes at once, and the ethics and safety discipline across all of them.

Computational Computational research L5 · Senior Full-Time On-site — Kolkata, West Bengal, India

Scale 10^-9 m to 10^-3 m

Molecular biology to the level of explaining how a measurement in an assay relates to the underlying biology. · Has analysed a real biological dataset and stated its batch effects or confounders. · Statistics for biological data: multiple testing, effect size, and why a significant result can be meaningless. · Python or R for bioinformatics, with a reproducible pipeline. + 4 more

Level 6 1

Bio-Nano Systems Lead

What this division works on, who works on it, and the rule that approvals come before work.

Computational Computational research L6 · Lead Full-Time On-site — Kolkata, West Bengal, India

Scale 10^-9 m to 10^-3 m

Molecular biology to the level of explaining how a measurement in an assay relates to the underlying biology. · Has analysed a real biological dataset and stated its batch effects or confounders. · Statistics for biological data: multiple testing, effect size, and why a significant result can be meaningless. · Python or R for bioinformatics, with a reproducible pipeline. + 4 more

Level 7 1

Principal Bioengineering Scientist

The division's scientific direction and the hardest problems at the biology-engineering boundary.

Computational Computational research L7 · Principal Full-Time On-site — Kolkata, West Bengal, India

Scale 10^-9 m to 10^-3 m

Molecular biology to the level of explaining how a measurement in an assay relates to the underlying biology. · Has analysed a real biological dataset and stated its batch effects or confounders. · Statistics for biological data: multiple testing, effect size, and why a significant result can be meaningless. · Python or R for bioinformatics, with a reproducible pipeline. + 4 more

Other divisions in this department

Ultra-Fundamental & Mathematical Physics Particle, High-Energy & Nuclear Systems Quantum, Atomic & Precision Systems Molecular Engineering & Computational Chemistry Nano Engineering & Nanotechnology Materials & Advanced Matter Semiconductors, Electronics & Micro/Nano Systems Computer Science, AI & Scientific Computing Mathematics & Computational Foundations Mechanical, Robotics & Multi-Scale Systems Civil, Structural & Macro-Scale Systems Energy, Environment & Climate Materials Aerospace, Space & Extreme Environment Engineering Astrophysics, Cosmology & Extreme-Scale Modelling